From 0390b0c20ed68bcf8118314932e27d99bb32fcd3 Mon Sep 17 00:00:00 2001 From: kadyb <35004826+kadyb@users.noreply.github.com> Date: Fri, 8 Nov 2024 23:14:28 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20kadyb/rg?= =?UTF-8?q?ugik@eb19524b8b3d6a7d6b75efc333905ab622d4ee82=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pkgdown.yml | 2 +- reference/borders_download.html | 2 +- search.json | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pkgdown.yml b/pkgdown.yml index b64098a..9599144 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -6,7 +6,7 @@ articles: orthophotomap: orthophotomap.html articles/spatialdb_description: spatialdb_description.html topodb: topodb.html -last_built: 2024-11-08T23:11Z +last_built: 2024-11-08T23:14Z urls: reference: https://kadyb.github.io/rgugik/reference article: https://kadyb.github.io/rgugik/articles diff --git a/reference/borders_download.html b/reference/borders_download.html index b3b07c2..c52fd74 100644 --- a/reference/borders_download.html +++ b/reference/borders_download.html @@ -78,7 +78,7 @@

Value

Examples

if (FALSE) { # \dontrun{
-borders_download("administrative units") # 375 MB
+borders_download("administrative units") # 366 MB
 } # }
diff --git a/search.json b/search.json index 0e9a0ca..785b5df 100644 --- a/search.json +++ b/search.json @@ -1 +1 @@ -[{"path":"https://kadyb.github.io/rgugik/CODE_OF_CONDUCT.html","id":null,"dir":"","previous_headings":"","what":"Contributor Code of Conduct","title":"Contributor Code of Conduct","text":"contributors maintainers project, pledge respect people contribute reporting issues, posting feature requests, updating documentation, submitting pull requests patches, activities. committed making participation project harassment-free experience everyone, regardless level experience, gender, gender identity expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, religion. Examples unacceptable behavior participants include use sexual language imagery, derogatory comments personal attacks, trolling, public private harassment, insults, unprofessional conduct. Project maintainers right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct. Project maintainers follow Code Conduct may removed project team. Instances abusive, harassing, otherwise unacceptable behavior may reported opening issue contacting one project maintainers. Code Conduct adapted Contributor Covenant, version 1.0.0, available https://www.contributor-covenant.org/version/1/0/0/code--conduct.html","code":""},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"CONTRIBUTING","title":"CONTRIBUTING","text":"matter current skills, ’s possible contribute rgugik package. appreciate contribution matter amount.","code":""},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":"bugs","dir":"","previous_headings":"","what":"Bugs","title":"CONTRIBUTING","text":"’ve found bug, please create minimal reproducible example using reprex package first. Spend time trying make minimal possible, facilitate task speed entire process. Next, submit issue Issues page.","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":"fixing-typos","dir":"","previous_headings":"Contributions","what":"Fixing typos","title":"CONTRIBUTING","text":"can fix typos, spelling mistakes, grammatical errors documentation. use roxygen2, documentation generated using .R files, editing .Rd files directly.","code":""},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":"greater-changes","dir":"","previous_headings":"Contributions","what":"Greater changes","title":"CONTRIBUTING","text":"want make greater change, ’s good idea file issue first make sure someone team agrees ’s needed. don’t want spend bunch time something don’t think suitable idea. accepted, can follow pull request process: Fork repo GitHub account. Clone version machine, e.g., git clone https://github.com/kadyb/rgugik.git. Make sure track progress upstream (.e., version rgugik kadyb/rgugik) git remote add upstream https://github.com/kadyb/rgugik.git. making changes, make sure pull changes upstream either git fetch upstream merge later, git pull upstream fetch merge one step. Make changes (make changes new branch). alter package functionality (e.g., code , just documentation) please write tests cover new functionality. Push changes account. Submit pull request master branch kadyb/rgugik. use testthat unit tests. Contributions test cases included prioritized accept. Please make sure new code documentation match existing style. use lintr static code analysis (.e., code style).","code":""},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":"questions","dir":"","previous_headings":"","what":"Questions","title":"CONTRIBUTING","text":"Questions welcomed Issues page. Adding reproducible example may make easier us answer.","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2020 Krzysztof Dyba, Jakub Nowosad Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"definition","dir":"Articles","previous_headings":"","what":"Definition","title":"Digital elevation model","text":"Digital elevation models models describing terrain surface. created result processing aerial photos, laser scanning (LiDAR), geodetic surveying, radar interferometry (InSAR). DEMs one key datasets Geographic Information Systems (GIS) constitute basis many environmental spatial analyses. addition, source derived products terrain slope aspect. DEM general name group models different characteristics, including: Digital terrain model (DTM) - numerical representation terrain morphological forms. model devoid objects ground, buildings trees. Digital surface model (DSM) - numerical representation terrain, including objects surface, buildings trees. Wikimedia Commons, free media repository, https://commons.wikimedia.org/w/index.php?title=File:DTM_DSM.svg&oldid=475779479 (accessed October 7, 2020). properties DEMs: Format - can distinguish three main structures: GRID (point / cell), TIN (irregular topological triangle network) contour lines (vector). Currently, used format GRID. Accuracy - related vertical measurement error. Spatial resolution - related size smallest object can detected sensor determined size image cell (pixel). larger cell, generalized form terrain presents.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"purpose","dir":"Articles","previous_headings":"","what":"Purpose","title":"Digital elevation model","text":"purpose vignette determine elevation ground surface objects selected area. source data Airborne Laser Scanning already processed GRID format.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"analysis","dir":"Articles","previous_headings":"","what":"Analysis","title":"Digital elevation model","text":"analysis area Morasko Meteorite nature reserve located Greater Poland voivodeship. established 1976 order protect area impact craters, , according researchers, formed fall Morasko meteorite 5,000 years ago. addition, oak-hornbeam forest rare species plants (lilium martagon, ceratophyllum submersum) birds (european nightjar, black woodpecker) protected.","code":"# attach packages library(sf) library(stars) library(rgugik)"},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"vector-data","dir":"Articles","previous_headings":"Analysis","what":"Vector data","title":"Digital elevation model","text":"centroid (geometric center) Morasko Meteorite nature reserve X = 16.895 Y = 52.487 coordinates World Geodetic System 1984 (EPSG 4326). Let’s start creating point sf package. Now point embedded space (spatial reference). next step, let’s create approximate zone include area reserve. function st_buffer() used . operation, need transform coordinate system system metric units, e.g. Poland CS92 (EPSG 2180), using st_transform() function. created buffer radius 400 meters. Let’s visualize . course, area shown exactly reserve area. exact area can determined polygon layer orthophotomap example using General Geographic Database.","code":"morasko = st_point(c(16.895, 52.489)) morasko = st_sfc(morasko, crs = 4326) # set coordinate system morasko ## Geometry set for 1 feature ## Geometry type: POINT ## Dimension: XY ## Bounding box: xmin: 16.895 ymin: 52.489 xmax: 16.895 ymax: 52.489 ## Geodetic CRS: WGS 84 ## POINT (16.895 52.489) morasko = st_transform(morasko, crs = 2180) morasko_buffer = st_buffer(morasko, dist = 400) plot(morasko_buffer, axes = TRUE, main = \"Morasko reserve buffer\") plot(morasko, add = TRUE)"},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"raster-data","dir":"Articles","previous_headings":"Analysis","what":"Raster data","title":"Digital elevation model","text":"Now can search available elevation data area using DEM_request() function (analogous ortho_request() function). argument function reserve buffer. Let’s check obtained results. received metadata many types data different formats, timeliness, resolution, accuracy. analysis, need digital terrain model (DTM) digital surface model (DSM) “ARC/INFO ASCII GRID” format. Let’s make data selection creating two tables combining together. Now can download data using tile_download() function filtered data frame input. run problem download, remember can pass another download method download.file() function argument.","code":"req_df = DEM_request(morasko_buffer) # display the first 10 rows and the first 5 columns req_df[1:10, 1:5] ## sheetID year format resolution avgElevErr ## 1 N-33-130-D-b-1 2007 Intergraph TTN 1.5 ## 2 N-33-130-D-b-1-1 2020 ARC/INFO ASCII GRID 5.0 m 0.5 ## 3 N-33-130-D-b-1-1 2017 ASCII XYZ GRID 1.0 m 0.9 ## 4 N-33-130-D-b-1-1 2012 ARC/INFO ASCII GRID 0.5 m 0.1 ## 5 6.179.11.13.4 2018 ASCII TBD 1.0 m 0.1 ## 6 6.179.11.14.1 2018 ASCII TBD 1.0 m 0.1 ## 7 6.179.11.08.4 2018 ASCII TBD 1.0 m 0.1 ## 8 6.179.11.14.3 2018 ASCII TBD 1.0 m 0.1 ## 9 6.179.11.09.3 2018 ASCII TBD 1.0 m 0.1 ## 10 6.179.11.13.2 2018 ASCII TBD 1.0 m 0.1 req_df_DTM = req_df[req_df$format == \"ARC/INFO ASCII GRID\" & req_df$product == \"DTM\" & req_df$year == 2019, ] req_df_DSM = req_df[req_df$format == \"ARC/INFO ASCII GRID\" & req_df$product == \"DSM\" & req_df$year == 2019, ] # combine data tables req_df = rbind(req_df_DTM, req_df_DSM) req_df[, 1:5] ## sheetID year format resolution avgElevErr ## 39 N-33-130-D-b-1-1 2019 ARC/INFO ASCII GRID 1.0 m 0.1 ## 11 N-33-130-D-b-1-1 2019 ARC/INFO ASCII GRID 0.5 m 0.1 # 168.7 MB tile_download(req_df, outdir = \"./data\") ## 1/2 ## 2/2 tile_download(req_df, outdir = \"./data\", method = \"wget\")"},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"processing","dir":"Articles","previous_headings":"Analysis","what":"Processing","title":"Digital elevation model","text":"Let’s load downloaded numerical models using read_stars() function stars package, allows working spatiotemporal arrays. two files, one represents DTM second represents DSM. probably noticed four-fold difference sizes. due difference cells resolutions. need unify common resolution able combine one stack. much better use lower resolution increase , get information processing faster. Let’s use st_warp() function . Now, models dimensions (number rows columns) spatial resolution. Thus, can combine one object (DEM). Now DEM object consists two attributes (DTM DSM). fact, attributes contains type data representing elevation. Therefore, can collapse attributes new dimension. Let’s using st_redimension(). operation, elevation attribute consists DTM DSM layers (dimensions). let’s crop rasters buffer. Let’s check result looks like. first quadrant circle, can see five smaller circles. craters formed impact Morasko meteorite. largest fragment found weighs 272 kg largest meteorite found Poland. collection found meteorites can seen Earth Museum Poznań. Let’s calculate crater width using terrain transverse profile. can use centroid add second example point 30 degrees towards N. Next, connect points line (st_linestring()) sample line every 1 m (st_line_sample()), DEM resolution. result, get one complex geometry (MULTIPOINT), convert simple geometry (POINT) consisting many points. function st_cast() used . last step, extract elevation values points using st_extract(). Now can see transverse profile looks like. largest width impact crater 90 m. Okay, checked terrain. last step, let’s examine height objects . purpose, calculate height trees subtracting DTM DSM. product difference called normalized DSM, takes terrain elevation reference.","code":"# load data DTM = read_stars(\"data/73044_917579_N-33-130-D-b-1-1.asc\", proxy = FALSE) DSM = read_stars(\"data/73043_917495_N-33-130-D-b-1-1.asc\", proxy = FALSE) # name raster names(DTM) = \"DTM\" names(DSM) = \"DSM\" # set coordinate system st_crs(DTM) = 2180 st_crs(DSM) = 2180 DSM = st_warp(DSM, dest = DTM, cellsize = 1) DEM = c(DTM, DSM) length(DEM) ## [1] 2 DEM = st_redimension(DEM) names(st_dimensions(DEM))[3] = \"elev\" # name new data dim st_dimensions(DEM) ## from to offset delta refsys point values x/y ## x 1 2188 355733 1 ETRS89 / Poland CS92 TRUE NULL [x] ## y 1 2379 517029 -1 ETRS89 / Poland CS92 TRUE NULL [y] ## elev 1 2 NA NA NA NA DTM, DSM DEM = st_crop(DEM, morasko_buffer) plot(DEM, col = terrain.colors(99, alpha = NULL)) pts_matrix = matrix(c(357121.7, 515765.5, 357321.2, 516017.9), ncol = 2, byrow = TRUE) line = st_sfc(st_linestring(pts_matrix), crs = 2180) line = st_line_sample(line, density = 1) line = st_cast(line, \"POINT\") # plot DTM (first layer) plot(DEM[, , , 1], main = \"DTM [m]\", col = terrain.colors(99, alpha = NULL), reset = FALSE) plot(line, col = \"red\", add = TRUE) # take elevation from DTM and DSM layers elev_line = st_extract(DEM, line)[[1]] colnames(elev_line) = c(\"DTM\", \"DSM\") # use 'dev.off()' to reset previous plot plot(elev_line[, \"DTM\"], type = \"l\", main = \"Digital terrain model\", ylab = \"Elevation [m]\", xlab = \"Distance [m]\", col = \"red\") abline(v = c(126, 219), col = \"blue\") calc = function(DEM) (DEM[2] - DEM[1]) nDSM = st_apply(DEM, MARGIN = c(\"x\", \"y\"), FUN = calc) plot(nDSM, main = \"Trees height [m]\", col = hcl.colors(9, palette = \"Greens\", rev = TRUE))"},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"definition","dir":"Articles","previous_headings":"","what":"Definition","title":"Orthophotomap","text":"Orthophotomap raster, orthogonal cartometric representation terrain surface created digital processing aerial satellite images. orthorectification, geometric distortions resulting land relief removed using digital elevation models (DEM). orthophotomap georeferenced, therefore, allows determine geographic coordinates cells. Orthophotomaps’ properties: Spatial resolution - related size smallest object can detected sensor determined size image cell (pixel). smaller cell, detail represents. large pixel means individual objects scene longer recognizable. Composition - analog images shades gray, digital images can natural colors (RGB) near infrared (NIR).","code":""},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"purpose","dir":"Articles","previous_headings":"","what":"Purpose","title":"Orthophotomap","text":"purpose vignette assess vegetation condition selected area. can done based remote sensing data (multispectral orthophotomap) simple vegetation index. NDVI (Normalized Difference Vegetation Index) simple indicator vegetation uses red near infrared bands. main application monitoring forecasting agricultural production. calculated using following formula: NDVI=NIR−REDNIR+REDNDVI = \\frac {NIR - RED} {NIR + RED} value ranges -1 1. higher value, higher biomass level. Values close 0 related water, bare soil surfaces buildings.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"analysis","dir":"Articles","previous_headings":"","what":"Analysis","title":"Orthophotomap","text":"analysis area Krajkowo nature reserve located Greater Poland voivodeship. established 1958 order protect breeding places birds, especially grey heron great black cormorant, protect landscape Warta oxbow.","code":"# attach packages library(sf) library(stars) library(rgugik)"},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"vector-data","dir":"Articles","previous_headings":"Analysis","what":"Vector data","title":"Orthophotomap","text":"Data nature reserves can found General Geographic Databases. can obtain using geodb_download() function. Let’s . run problem download, remember can pass another download method download.file() function argument. downloaded database consists many files GML (Geography Markup Language) format. brief description structure database can found . table nature reserves “PL.PZGIK.201.30__OT_TCRZ_A.xml” file. can use sf package read_sf() function load . Let’s check structure data. simple terms, spatial table consisting 110 observations (rows) 28 variables (columns). names objects located nazwa column, allow us select Krajkowo reserve . can display two basic ways: Using plot() function directly specifying column object geometry: plot(krajkowo$geometry) Using plot() st_geometry() functions obtain geometry vector layer. first case, need know name column geometries (e.g. geometry, geom, etc.), second case, geometry selected automatically (safer preferable way). can also calculate area polygon. st_area() function returned area m^2, conversion got result 165 ha.","code":"# 17.6 MB geodb_download(\"wielkopolskie\", outdir = \"./data\") geodb_download(req_df, outdir = \"./data\", method = \"wget\") reserves = read_sf(\"data/PL.PZGiK.201.30/BDOO/PL.PZGIK.201.30__OT_TCRZ_A.xml\") ncol(reserves) ## [1] 28 nrow(reserves) ## [1] 110 # selection by attribute krajkowo = reserves[reserves$nazwa == \"Krajkowo\", ] plot(st_geometry(krajkowo), axes = TRUE, main = \"Krajkowo reserve\") krajkowo_area = st_area(krajkowo) # [m^2] units::set_units(krajkowo_area, \"ha\") # convert to [ha] ## 165.2744 [ha]"},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"raster-data","dir":"Articles","previous_headings":"Analysis","what":"Raster data","title":"Orthophotomap","text":"Now let’s move stage downloading orthophotomap. use ortho_request() function show us images available analyzed area. need provide Krajkowo polygon argument function. can display resulting table using code . complete task, need obtain near infrared data. next step, select rows composition column value “CIR”. let’s sort table according year photo taken, recent images top table. Let’s display table select newest compositions. Note result pair objects (images). means Krajkowo reserve depicted two photos within one series. Therefore, seriesID column used combine smaller images larger mosaic. tile_download() function used download orthophotomaps taking selected table main argument. can also specify output folder outdir argument.","code":"req_df = ortho_request(krajkowo) # display the first 10 rows and the first 6 columns req_df[1:10, 1:6] ## sheetID year resolution composition sensor CRS ## 1 N-33-142-B-d-4-2 2004 0.50 B/W Analog PL-1992 ## 2 N-33-142-B-d-4-4 2004 0.50 B/W Analog PL-1992 ## 3 N-33-142-B-d-4-4 2010 0.25 RGB Digital PL-1992 ## 4 N-33-142-B-d-4-2 2010 0.25 RGB Digital PL-1992 ## 5 N-33-142-B-d-4-4 2010 0.25 CIR Digital PL-1992 ## 6 N-33-142-B-d-4-2 2010 0.25 CIR Digital PL-1992 ## 7 N-33-142-B-d-4-2 2016 0.25 CIR Digital PL-1992 ## 8 N-33-142-B-d-4-2 2016 0.25 RGB Digital PL-1992 ## 9 N-33-142-B-d-4-4 2016 0.25 CIR Digital PL-1992 ## 10 N-33-142-B-d-4-4 2016 0.25 RGB Digital PL-1992 # select IR images and overwrite the req_df object req_df = req_df[req_df$composition == \"CIR\", ] req_df = req_df[order(-req_df$year), ] req_df[, c(1:5, 9)] ## sheetID year resolution composition sensor seriesID ## 7 N-33-142-B-d-4-2 2016 0.25 CIR Digital 69837 ## 9 N-33-142-B-d-4-4 2016 0.25 CIR Digital 69837 ## 22 N-33-142-B-d-4-2 2013 0.25 CIR Digital 69903 ## 24 N-33-142-B-d-4-4 2013 0.25 CIR Digital 69903 ## 5 N-33-142-B-d-4-4 2010 0.25 CIR Digital 69763 ## 6 N-33-142-B-d-4-2 2010 0.25 CIR Digital 69763 req_df = req_df[req_df$year == 2016, ] req_df[, c(1:5, 9)] ## sheetID year resolution composition sensor seriesID ## 7 N-33-142-B-d-4-2 2016 0.25 CIR Digital 69837 ## 9 N-33-142-B-d-4-4 2016 0.25 CIR Digital 69837 # 61.9 MB tile_download(req_df, outdir = \"./data\") ## 1/2 ## 2/2"},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"processing","dir":"Articles","previous_headings":"Analysis","what":"Processing","title":"Orthophotomap","text":"Let’s load downloaded orthophotomaps using read_stars() function stars package, allows working spatiotemporal arrays. case, raster consisting three bands (NIR, R, G) one point time. don’t need load entire data array memory - can read file’s metadata instead using proxy argument. Now can perform two operations: rasters merging cropping reserve area. use proxy allows get result almost immediately, processing entire image (proxy = FALSE) take several minutes. Images specific Coordinate Reference Systems, let’s make sure correct one merging. EPSG 2180 case. Let’s display effect using plot() function, define input bands rgb argument. creates composition consisting three bands: NIR, R G case. composition shown infrared, natural colors, may misinterpreted rgb argument name. last step, calculate NDVI using near infrared (1) red (2) bands. surprising observation relatively low NDVI values forest area. two reasons , .e. photos taken mid-March (start growing season) probably calibrated. reason, better source data analysis may satellite images, calibrated spectrally obtained continuously (cloudiness occurs).","code":"img1 = read_stars(\"data/69837_329609_N-33-142-B-d-4-2.TIF\", proxy = TRUE) img2 = read_stars(\"data/69837_329613_N-33-142-B-d-4-4.TIF\", proxy = TRUE) img = st_mosaic(img1, img2) st_crs(img) = 2180 # overwrite CRS to be sure img = st_crop(img, krajkowo) plot(img, rgb = c(1, 2, 3), main = NULL) calc_ndvi = function(img) (img[1] - img[2]) / (img[1] + img[2]) ndvi = st_apply(img, MARGIN = c(\"x\", \"y\"), FUN = calc_ndvi) plot(ndvi, main = \"NDVI\", col = hcl.colors(10, palette = \"RdYlGn\"))"},{"path":[]},{"path":"https://kadyb.github.io/rgugik/articles/spatialdb_description.html","id":"second-level-of-categories-names-of-vector-layers","dir":"Articles","previous_headings":"","what":"Second level of categories (names of vector layers)","title":"Spatial Databases","text":"last character vector layer name means: P - point L - line - area","code":""},{"path":"https://kadyb.github.io/rgugik/articles/spatialdb_description.html","id":"other-files","dir":"Articles","previous_headings":"","what":"Other files","title":"Spatial Databases","text":"“UzytkownikXX (UserXX)” - contact details Voivodeship Marshal’s Office. “XX” contains TERC (voivodeship ID). Files names: “Ciek (Watercourse)”, “LiniaKolejowa (Railway line)”, “SzlakDrogowy (Road trail)”, “WezelKolejowy (Railway junction)”, “ZbiornikWodny (Reservoir)” contain metadata objects.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"definition","dir":"Articles","previous_headings":"","what":"Definition","title":"Topographic Database","text":"Topographic Database (pl. Baza Danych Obiektów Topograficznych) vector (object) database containing spatial location topographic objects characteristics Poland. content detail database correspond topographic map scale 1:10000. thematic scope includes information water network, communication network, land cover, buildings technical structures, utility infrastructure, land use, protected areas, territorial division units, objects. database available Geography Markup Language (GML) format. source data comes : spatial databases maintained Polish Head Office Geodesy Cartography (e.g. Register Towns, Streets Addresses, Register Land Buildings, State Register Borders), databases maintained ministries institutions (e.g., Ministry Infrastructure, State Water Management, General Directorate Environmental Protection), fieldworks.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"purpose","dir":"Articles","previous_headings":"","what":"Purpose","title":"Topographic Database","text":"purpose vignette perform spatial operations vector data Topographic Database. focus four cases, taking account different types geometry, .e. point, line, polygon, attributes. Also, show can visualized.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"analysis","dir":"Articles","previous_headings":"","what":"Analysis","title":"Topographic Database","text":"analysis area bieszczadzki county located Subcarpathian (podkarpackie) voivodeship. farthest south area Poland also lowest population density (19 people km2).","code":"# attach packages library(sf) library(rgugik)"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"database","dir":"Articles","previous_headings":"Analysis","what":"Database","title":"Topographic Database","text":"start downloading topographic database county using topodb_download() function. run problem download, remember can pass another download method download.file() function argument. downloaded database consists many files GML format. data necessary analyzes can found data/PL.PZGiK.332.1801/BDOT10k/ location. brief description structure database can found . First, let’s load file administrative units (“PL.PZGiK.332.1801__OT_ADJA_A.xml”) using sf package read_sf() function. file contains administrative units various levels, let’s choose lowest level, .e. communes. three types communes dataset, specified rodzaj column: urban (GM), rural (GW), urban-rural (Gmw). Let’s select . can see bieszczadzki county consists two rural communes one urban-rural commune. Let’s visualize .","code":"# 22.4 MB topodb_download(\"bieszczadzki\", outdir = \"./data\") topodb_download(req_df, outdir = \"./data\", method = \"wget\") territory = read_sf(\"data/PL.PZGiK.332.1801/BDOT10k/PL.PZGiK.332.1801__OT_ADJA_A.xml\") communes = territory[territory$rodzaj %in% c(\"GM\", \"GW\", \"Gmw\"), \"rodzaj\"] table(communes$rodzaj) ## ## Gmw GW ## 1 2 plot(communes, axes = TRUE, main = \"Bieszczadzki county\")"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"lengths-and-categories-of-roads","dir":"Articles","previous_headings":"Analysis","what":"Lengths and categories of roads","title":"Topographic Database","text":"first task, calculate lengths roads, taking account categories. Road data can found “PL.PZGiK.332.1801__OT_SKDR_L.xml” file. Let’s plot . use plot() function , time combine two layers one image. first layer (background) contains roads add another layer, set argument reset \"FALSE\". can add second layer territory borders setting add argument \"TRUE\". six road categories related managing entity. : national (K), voivodeship (W), county (P), communal (G), institutional (Z), () roads. use st_length() function find length object table. Next, create data frame consisting road category length. aggregate data frame calculate sum lengths category. results given meters - let’s convert kilometers. Let’s also change names categories. Now can see results. type roads dominates consists mainly non-public roads. can also calculate total length roads area. result 3328.285 km. Another aspect data can investigate density road network. need calculate total area first, divide total road length total area. road density 2.92 km/km2.","code":"roads = read_sf(\"data/PL.PZGiK.332.1801/BDOT10k/PL.PZGiK.332.1801__OT_SKDR_L.xml\") plot(roads[\"katZarzadzania\"], main = \"Road category\", reset = FALSE) plot(st_geometry(territory), add = TRUE) length_roads = st_length(roads) length_roads = data.frame(length = length_roads, class = as.factor(roads$katZarzadzania)) length_roads = aggregate(length ~ class, data = length_roads, FUN = sum) # convert to [km] length_roads$length = units::set_units(length_roads$length, \"km\") road_class = c(\"communal\", \"other\", \"national\", \"county\", \"voivodeship\", \"institutional\") levels(length_roads$class) = road_class length_roads ## class length ## 1 communal 186.17329 [km] ## 2 other 2819.55806 [km] ## 3 national 19.24996 [km] ## 4 county 187.17870 [km] ## 5 voivodeship 105.67567 [km] ## 6 institutional 10.44893 [km] sum(length_roads$length) ## 3328.285 [km] communes_area = sum(st_area(communes)) communes_area = units::set_units(communes_area, \"km2\") density = sum(length_roads$length)/communes_area density = units::set_units(density, \"km/km2\") density ## 2.921031 [km/km2]"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"roads-through-the-rivers","dir":"Articles","previous_headings":"Analysis","what":"Roads through the rivers","title":"Topographic Database","text":"Another dataset included Topographic Database contains rivers area (“PL.PZGiK.332.1801__OT_SWRS_L.xml”). Rivers divided smaller sections different parameters, river width data source. Let’s merge sections rivers single feature (geometry) - can use attribute ID (idMPHP) purpose. can also give river category number creating sequence 1 n using seq_len function. Let’s visualize rivers’ courses. rivers roads, can designate points intersection symbolize bridges crossings. can use st_intersection() function . get 81 points. Let’s plot .","code":"rivers = read_sf(\"data/PL.PZGiK.332.1801/BDOT10k/PL.PZGiK.332.1801__OT_SWRS_L.xml\") rivers = rivers[rivers$rodzaj == \"Rz\", ] # select only rivers rivers = aggregate(rivers[, c(\"geometry\", \"idMPHP\")], list(rivers$idMPHP), sum) rivers$idMPHP = seq_len(length(unique(rivers$idMPHP))) rivers$idMPHP = as.factor(rivers$idMPHP) plot(rivers[\"idMPHP\"], main = \"Rivers\", reset = FALSE) plot(st_geometry(territory), add = TRUE) bridges = st_geometry(st_intersection(rivers, roads)) length(bridges) ## [1] 81 # use 'dev.off()' to reset previous plot plot(st_geometry(rivers), main = \"Bridges and crossings\", col = \"blue\") plot(st_geometry(territory), add = TRUE) plot(bridges, add = TRUE, pch = 20)"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"land-cover","dir":"Articles","previous_headings":"Analysis","what":"Land cover","title":"Topographic Database","text":"Land cover physical material surface earth like grass, trees, bare ground, water, etc. Let’s check land cover data county - stored files PT prefix. use list.files() function list . pattern argument important determines files selected. pattern look like : PT+.+\\\\.xml$ - files containing areal data () land cover (PT) listed. also can exclude “PL.PZGiK.332.1801__OT_PTSO_A.xml” file list, file contains zero objects (features). Let’s prepare names objects data loaded. following names extended names abbreviations stored filenames. Now load GML file, naming list . Instead using loop, can use lapply() function, performs specific action element vector. action case load GML files using read_sf(). Previously, used st_length() calculate line length, now use corresponding st_area() function calculate area. use lapply() function analogously, work item list. similar function sapply(), returns vector instead list. Let’s see results (kilometers). Let’s make sure total land cover equal area county. tiny precision differences possible, set difference tolerance. possible using .equal() function. Everything correct. Let’s present results percentages area sort descending order. 75% county’s area covered forests less 1% buildings.","code":"files = list.files(\"data/PL.PZGiK.332.1801/BDOT10k\", pattern = \"PT+.+A\\\\.xml$\", full.names = TRUE) # print filenames basename(files) ## [1] \"PL.PZGiK.332.1801__OT_PTGN_A.xml\" ## [2] \"PL.PZGiK.332.1801__OT_PTKM_A.xml\" ## [3] \"PL.PZGiK.332.1801__OT_PTLZ_A.xml\" ## [4] \"PL.PZGiK.332.1801__OT_PTNZ_A.xml\" ## [5] \"PL.PZGiK.332.1801__OT_PTPL_A.xml\" ## [6] \"PL.PZGiK.332.1801__OT_PTRK_A.xml\" ## [7] \"PL.PZGiK.332.1801__OT_PTSO_A.xml\" ## [8] \"PL.PZGiK.332.1801__OT_PTTR_A.xml\" ## [9] \"PL.PZGiK.332.1801__OT_PTUT_A.xml\" ## [10] \"PL.PZGiK.332.1801__OT_PTWP_A.xml\" ## [11] \"PL.PZGiK.332.1801__OT_PTWZ_A.xml\" ## [12] \"PL.PZGiK.332.1801__OT_PTZB_A.xml\" # drop \"OT_PTSO_A.xml\" files = files[-7] layer_names = c(\"fallowlands\", \"communication\", \"forest\", \"undeveloped\", \"squares\", \"shrublands\", \"crops\", \"grassland\", \"water\", \"heaps\", \"buildings\") layers = lapply(files, read_sf) names(layers) = layer_names # calculate areas in each layer area_landcover = lapply(layers, st_area) # sum areas for each layer area_landcover = sapply(area_landcover, sum) # convert units area_landcover = units::set_units(area_landcover, \"m^2\") area_landcover = units::set_units(area_landcover, \"km^2\") names(area_landcover) = layer_names area_landcover ## Units: [km^2] ## fallowlands communication forest undeveloped squares ## 0.07561383 1.97014481 860.17248134 0.27817715 0.29038385 ## shrublands crops grassland water heaps ## 1.57266555 255.13528884 0.63447491 8.81181550 0.09220115 ## buildings ## 10.38781092 all.equal(sum(area_landcover), communes_area, tolerance = 0.001) ## [1] TRUE landcover_percentage = area_landcover / sum(area_landcover) * 100 units(landcover_percentage) = NULL # drop units landcover_percentage = sort(landcover_percentage, decreasing = TRUE) landcover_percentage = round(landcover_percentage, 2) landcover_percentage ## forest crops buildings water communication ## 75.49 22.39 0.91 0.77 0.17 ## shrublands grassland squares undeveloped heaps ## 0.14 0.06 0.03 0.02 0.01 ## fallowlands ## 0.01"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"buffer","dir":"Articles","previous_headings":"Analysis","what":"Buffer","title":"Topographic Database","text":"last analysis vignette, want check many buildings bus stops within given distance. can apply spatial buffers solve question. Information bus stops “PL.PZGiK.332.1801__OT_OIKM_P.xml” file, represented OIKM04 value x_kod attribute. Let’s prepare visualization bus stops marked blue dots buildings presented red polygons. Let’s create buffer bus stop range 1 km using st_buffer(). Now, can plot . return buildings within buffer range, can perform st_within() operation. result nested list consists 2828 buildings associated buffers. Let’s count many buildings buffer using sapply() previous examples. Answer last question: 14% buildings county access bus stop within 1 km radius.","code":"bus_stop = read_sf(\"data/PL.PZGiK.332.1801/BDOT10k/PL.PZGiK.332.1801__OT_OIKM_P.xml\") bus_stop = bus_stop[bus_stop$x_kod == \"OIKM04\", ] buildings = layers$buildings plot(st_geometry(communes), main = \"Bus stops\") plot(st_geometry(layers$buildings), add = TRUE, border = \"red\") plot(st_geometry(bus_stop), add = TRUE, pch = 20, cex = 0.7, col = \"blue\") bus_buffer = st_buffer(bus_stop, 1000) plot(st_geometry(communes), main = \"Bus stops buffers\") plot(st_geometry(buildings), add = TRUE, border = \"red\") plot(st_geometry(bus_buffer), add = TRUE) buildings_buffer = st_within(buildings, bus_buffer) buildings_ex = sapply(buildings_buffer, length) buildings_ex = sum(buildings_ex == 0) buildings_ex = round(buildings_ex / nrow(buildings) * 100) buildings_ex ## [1] 14"},{"path":"https://kadyb.github.io/rgugik/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Krzysztof Dyba. Author, maintainer. Jakub Nowosad. Author. Maciej Beręsewicz. Contributor. GUGiK. Contributor. source data","code":""},{"path":"https://kadyb.github.io/rgugik/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Dyba, K. Nowosad, J. (2021). rgugik: Search Retrieve Spatial Data Polish Head Office Geodesy Cartography R. Journal Open Source Software, 6(59), 2948, https://doi.org/10.21105/joss.02948","code":"@Article{, title = {rgugik: Search and Retrieve Spatial Data from the Polish Head Office of Geodesy and Cartography in R}, author = {Krzysztof Dyba and Jakub Nowosad}, journal = {Journal of Open Source Software}, year = {2021}, volume = {6}, number = {59}, pages = {2948}, doi = {10.21105/joss.02948}, url = {https://doi.org/10.21105/joss.02948}, }"},{"path":"https://kadyb.github.io/rgugik/index.html","id":"rgugik-","dir":"","previous_headings":"","what":"Search and Retrieve Spatial Data from GUGiK","title":"Search and Retrieve Spatial Data from GUGiK","text":"rgugik R package downloading open data resources Polish Head Office Geodesy Cartography including: Orthophotomaps General Geographic Database Topographic Database Register Towns, Streets Addresses State Register Geographical Names State Register Borders Location (geometry) cadastral parcels using TERYT (parcel ID) coordinates 3D models buildings (LOD1, LOD2) Digital terrain model Digital surface model Point cloud also possible geocode addresses objects using geocodePL_get() function. Corresponding functions additional functions obtaining digital terrain model: pointDTM_get() small areas (high resolution grid) pointDTM100_download() voivodeships areas (low resolution grid) minmaxDTM_get() find minimum maximum elevation (small areas) names administrative units IDs included objects: voivodeship_names (16) county_names (380) commune_names (2476)","code":""},{"path":"https://kadyb.github.io/rgugik/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Search and Retrieve Spatial Data from GUGiK","text":"can install released version CRAN : can install development version GitHub :","code":"install.packages(\"rgugik\") # install.packages(\"remotes\") remotes::install_github(\"kadyb/rgugik\")"},{"path":[]},{"path":"https://kadyb.github.io/rgugik/index.html","id":"orthophotomap","dir":"","previous_headings":"Usage","what":"Orthophotomap","title":"Search and Retrieve Spatial Data from GUGiK","text":"ortho_request() - returns data frame metadata links orthoimages given geometry (point, line polygon) tile_download() - downloads orthoimages based data frame obtained using ortho_request() function","code":"library(rgugik) library(sf) library(stars) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) req_df = ortho_request(polygon) # select the oldest image req_df = req_df[req_df$year == 2001, ] # print metadata t(req_df) #> 27 #> sheetID \"N-33-130-D-b-2-3\" #> year \"2001\" #> resolution \"1\" #> composition \"RGB\" #> sensor \"Satellite\" #> CRS \"PL-1992\" #> date \"2001-01-01\" #> isFilled \"TRUE\" #> URL \"https://opendata.geoportal.gov.pl/ortofotomapa/41/41_3756_N-33-130-D-b-2-3.tif\" #> filename \"41_3756_N-33-130-D-b-2-3\" #> seriesID \"41\" # download image tile_download(req_df) #> 1/1 img = read_stars(\"41_3756_N-33-130-D-b-2-3.tif\") plot(st_rgb(img), main = NULL)"},{"path":"https://kadyb.github.io/rgugik/index.html","id":"administrative-boundaries","dir":"","previous_headings":"Usage","what":"Administrative boundaries","title":"Search and Retrieve Spatial Data from GUGiK","text":"","code":"library(rgugik) library(sf) # get counties from opolskie voivodeship (TERYT 16) counties = county_names counties = counties[substr(counties$TERYT, 1, 2) == \"16\", \"TERYT\"] counties_geom = borders_get(TERYT = counties) plot(st_geometry(counties_geom), main = \"Opolskie\")"},{"path":"https://kadyb.github.io/rgugik/index.html","id":"vignettes","dir":"","previous_headings":"Usage","what":"Vignettes","title":"Search and Retrieve Spatial Data from GUGiK","text":"advanced examples practical (step step) use package can found vignettes: Orthophotomap Digital elevation model Topographic Database","code":""},{"path":"https://kadyb.github.io/rgugik/index.html","id":"acknowledgment","dir":"","previous_headings":"","what":"Acknowledgment","title":"Search and Retrieve Spatial Data from GUGiK","text":"Head Office Geodesy Cartography Poland main source provided data. data made available accordance Act May 17, 1989 Geodetic Cartographic Law (amended 16 April 2020). datasets can explored interactively using Geoportal.","code":""},{"path":"https://kadyb.github.io/rgugik/index.html","id":"contribution","dir":"","previous_headings":"","what":"Contribution","title":"Search and Retrieve Spatial Data from GUGiK","text":"Contributions package welcome. preferred method contribution GitHub pull request. Feel also free contact us creating issue. detailed information can found CONTRIBUTING document. Maintainers contributors must follow repository’s CODE CONDUCT.","code":""},{"path":"https://kadyb.github.io/rgugik/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Search and Retrieve Spatial Data from GUGiK","text":"cite rgugik publications, please use following article: BibTeX version can obtained citation(\"rgugik\").","code":"Dyba, K. and Nowosad, J. (2021). rgugik: Search and Retrieve Spatial Data from the Polish Head Office of Geodesy and Cartography in R. Journal of Open Source Software, 6(59), 2948, https://doi.org/10.21105/joss.02948"},{"path":"https://kadyb.github.io/rgugik/index.html","id":"related-projects","dir":"","previous_headings":"","what":"Related projects","title":"Search and Retrieve Spatial Data from GUGiK","text":"don’t feel familiar R, similar QGIS tool EnviroSolutions repository.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":null,"dir":"Reference","previous_headings":"","what":"Get metadata and links to available digital elevation models — DEM_request","title":"Get metadata and links to available digital elevation models — DEM_request","text":"Get metadata links available digital elevation models","code":""},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get metadata and links to available digital elevation models — DEM_request","text":"","code":"DEM_request(x)"},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get metadata and links to available digital elevation models — DEM_request","text":"x sf, sfc SpatVector object one features (requests based bounding boxes provided features)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get metadata and links to available digital elevation models — DEM_request","text":"data frame metadata links digital elevation models (different formats digital terrain model, digital surface model point clouds)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get metadata and links to available digital elevation models — DEM_request","text":"server can return maximum 2000 records single query. area interest exceeds limit, can generate grid smaller polygons (sf::st_make_grid()) regular grid points (sf::st_sample()).","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get metadata and links to available digital elevation models — DEM_request","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) req_df = DEM_request(polygon) # simple filtering by attributes req_df = req_df[req_df$year > 2018, ] req_df = req_df[req_df$product == \"PointCloud\" & req_df$format == \"LAS\", ] } # }"},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download State Register of Borders — borders_download","title":"Download State Register of Borders — borders_download","text":"Download State Register Borders","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download State Register of Borders — borders_download","text":"","code":"borders_download(type, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download State Register of Borders — borders_download","text":"type \"administrative units\", \"special units\" \"addresses\" outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download State Register of Borders — borders_download","text":"selected data type SHP format","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download State Register of Borders — borders_download","text":"","code":"if (FALSE) { # \\dontrun{ borders_download(\"administrative units\") # 375 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the boundaries of administrative units — borders_get","title":"Get the boundaries of administrative units — borders_get","text":"Get boundaries administrative units","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the boundaries of administrative units — borders_get","text":"","code":"borders_get(voivodeship = NULL, county = NULL, commune = NULL, TERYT = NULL)"},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the boundaries of administrative units — borders_get","text":"voivodeship selected voivodeships Polish. Check voivodeship_names() function county county names Polish. Check county_names() function commune commune names Polish. Check commune_names() function TERYT voivodeships, counties communes (2, 4 7 characters)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the boundaries of administrative units — borders_get","text":"sf data.frame (EPSG: 2180)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get the boundaries of administrative units — borders_get","text":"arguments NULL (default), boundary Poland returned.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the boundaries of administrative units — borders_get","text":"","code":"if (FALSE) { # \\dontrun{ voivodeship_geom = borders_get(voivodeship = \"lubuskie\") # 494 KB county_geom = borders_get(county = \"Sopot\") # 18 KB commune_geom = borders_get(commune = c(\"Hel\", \"Krynica Morska\")) # 11 KB poland_geom = borders_get() # 1124.3 KB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":null,"dir":"Reference","previous_headings":"","what":"Communes in Poland — commune_names","title":"Communes in Poland — commune_names","text":"data frame contains names communes, identifiers (TERC, 7 characters).","code":""},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Communes in Poland — commune_names","text":"","code":"commune_names"},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Communes in Poland — commune_names","text":"object class data.frame 2477 rows 2 columns.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Communes in Poland — commune_names","text":"Last update: 2 January 2024","code":""},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Communes in Poland — commune_names","text":"","code":"commune_names #> NAME TERYT #> 1 Bolesławiec 0201011 #> 2 Bolesławiec 0201022 #> 3 Gromadka 0201032 #> 4 Nowogrodziec 0201043 #> 5 Osiecznica 0201052 #> 6 Warta Bolesławiecka 0201062 #> 7 Bielawa 0202011 #> 8 Dzierżoniów 0202021 #> 9 Pieszyce 0202033 #> 10 Piława Górna 0202041 #> 11 Dzierżoniów 0202052 #> 12 Łagiewniki 0202062 #> 13 Niemcza 0202073 #> 14 Głogów 0203011 #> 15 Głogów 0203022 #> 16 Jerzmanowa 0203032 #> 17 Kotla 0203042 #> 18 Pęcław 0203052 #> 19 Żukowice 0203062 #> 20 Góra 0204013 #> 21 Jemielno 0204022 #> 22 Niechlów 0204032 #> 23 Wąsosz 0204043 #> 24 Jawor 0205011 #> 25 Bolków 0205023 #> 26 Męcinka 0205032 #> 27 Mściwojów 0205042 #> 28 Paszowice 0205052 #> 29 Wądroże Wielkie 0205062 #> 30 Karpacz 0206011 #> 31 Kowary 0206021 #> 32 Piechowice 0206031 #> 33 Szklarska Poręba 0206041 #> 34 Janowice Wielkie 0206052 #> 35 Jeżów Sudecki 0206062 #> 36 Mysłakowice 0206072 #> 37 Podgórzyn 0206082 #> 38 Stara Kamienica 0206092 #> 39 Kamienna Góra 0207011 #> 40 Kamienna Góra 0207022 #> 41 Lubawka 0207033 #> 42 Marciszów 0207042 #> 43 Duszniki-Zdrój 0208011 #> 44 Kłodzko 0208021 #> 45 Kudowa-Zdrój 0208031 #> 46 Nowa Ruda 0208041 #> 47 Polanica-Zdrój 0208051 #> 48 Bystrzyca Kłodzka 0208063 #> 49 Kłodzko 0208072 #> 50 Lądek-Zdrój 0208083 #> 51 Lewin Kłodzki 0208092 #> 52 Międzylesie 0208103 #> 53 Nowa Ruda 0208112 #> 54 Radków 0208123 #> 55 Stronie Śląskie 0208133 #> 56 Szczytna 0208143 #> 57 Chojnów 0209011 #> 58 Chojnów 0209022 #> 59 Krotoszyce 0209032 #> 60 Kunice 0209042 #> 61 Legnickie Pole 0209052 #> 62 Miłkowice 0209062 #> 63 Prochowice 0209073 #> 64 Ruja 0209082 #> 65 Lubań 0210011 #> 66 Świeradów-Zdrój 0210021 #> 67 Leśna 0210033 #> 68 Lubań 0210042 #> 69 Olszyna 0210053 #> 70 Platerówka 0210062 #> 71 Siekierczyn 0210072 #> 72 Lubin 0211011 #> 73 Lubin 0211022 #> 74 Rudna 0211032 #> 75 Ścinawa 0211043 #> 76 Gryfów Śląski 0212013 #> 77 Lubomierz 0212023 #> 78 Lwówek Śląski 0212033 #> 79 Mirsk 0212043 #> 80 Wleń 0212053 #> 81 Cieszków 0213012 #> 82 Krośnice 0213022 #> 83 Milicz 0213033 #> 84 Oleśnica 0214011 #> 85 Bierutów 0214023 #> 86 Dobroszyce 0214032 #> 87 Dziadowa Kłoda 0214042 #> 88 Międzybórz 0214053 #> 89 Oleśnica 0214062 #> 90 Syców 0214073 #> 91 Twardogóra 0214083 #> 92 Oława 0215011 #> 93 Domaniów 0215022 #> 94 Jelcz-Laskowice 0215033 #> 95 Oława 0215042 #> 96 Chocianów 0216013 #> 97 Gaworzyce 0216022 #> 98 Grębocice 0216032 #> 99 Polkowice 0216043 #> 100 Przemków 0216053 #> 101 Radwanice 0216062 #> 102 Borów 0217012 #> 103 Kondratowice 0217022 #> 104 Przeworno 0217032 #> 105 Strzelin 0217043 #> 106 Wiązów 0217053 #> 107 Kostomłoty 0218012 #> 108 Malczyce 0218022 #> 109 Miękinia 0218033 #> 110 Środa Śląska 0218043 #> 111 Udanin 0218052 #> 112 Świdnica 0219011 #> 113 Świebodzice 0219021 #> 114 Dobromierz 0219032 #> 115 Jaworzyna Śląska 0219043 #> 116 Marcinowice 0219052 #> 117 Strzegom 0219063 #> 118 Świdnica 0219072 #> 119 Żarów 0219083 #> 120 Oborniki Śląskie 0220013 #> 121 Prusice 0220023 #> 122 Trzebnica 0220033 #> 123 Wisznia Mała 0220042 #> 124 Zawonia 0220052 #> 125 Żmigród 0220063 #> 126 Boguszów-Gorce 0221011 #> 127 Jedlina-Zdrój 0221021 #> 128 Szczawno-Zdrój 0221031 #> 129 Czarny Bór 0221042 #> 130 Głuszyca 0221053 #> 131 Mieroszów 0221063 #> 132 Stare Bogaczowice 0221072 #> 133 Walim 0221082 #> 134 Brzeg Dolny 0222013 #> 135 Wińsko 0222022 #> 136 Wołów 0222033 #> 137 Czernica 0223012 #> 138 Długołęka 0223022 #> 139 Jordanów Śląski 0223032 #> 140 Kąty Wrocławskie 0223043 #> 141 Kobierzyce 0223052 #> 142 Mietków 0223062 #> 143 Sobótka 0223073 #> 144 Siechnice 0223083 #> 145 Żórawina 0223092 #> 146 Bardo 0224013 #> 147 Ciepłowody 0224022 #> 148 Kamieniec Ząbkowicki 0224033 #> 149 Stoszowice 0224042 #> 150 Ząbkowice Śląskie 0224053 #> 151 Ziębice 0224063 #> 152 Złoty Stok 0224073 #> 153 Zawidów 0225011 #> 154 Zgorzelec 0225021 #> 155 Bogatynia 0225033 #> 156 Pieńsk 0225043 #> 157 Sulików 0225052 #> 158 Węgliniec 0225063 #> 159 Zgorzelec 0225072 #> 160 Wojcieszów 0226011 #> 161 Złotoryja 0226021 #> 162 Pielgrzymka 0226032 #> 163 Świerzawa 0226043 #> 164 Zagrodno 0226052 #> 165 Złotoryja 0226062 #> 166 Jelenia Góra 0261011 #> 167 Legnica 0262011 #> 168 Wrocław 0264011 #> 169 Wałbrzych 0265011 #> 170 Aleksandrów Kujawski 0401011 #> 171 Ciechocinek 0401021 #> 172 Nieszawa 0401031 #> 173 Aleksandrów Kujawski 0401042 #> 174 Bądkowo 0401052 #> 175 Koneck 0401062 #> 176 Raciążek 0401072 #> 177 Waganiec 0401082 #> 178 Zakrzewo 0401092 #> 179 Brodnica 0402011 #> 180 Bobrowo 0402022 #> 181 Brodnica 0402032 #> 182 Brzozie 0402042 #> 183 Górzno 0402053 #> 184 Bartniczka 0402062 #> 185 Jabłonowo Pomorskie 0402073 #> 186 Osiek 0402082 #> 187 Świedziebnia 0402092 #> 188 Zbiczno 0402102 #> 189 Białe Błota 0403012 #> 190 Dąbrowa Chełmińska 0403022 #> 191 Dobrcz 0403032 #> 192 Koronowo 0403043 #> 193 Nowa Wieś Wielka 0403052 #> 194 Osielsko 0403062 #> 195 Sicienko 0403072 #> 196 Solec Kujawski 0403083 #> 197 Chełmno 0404011 #> 198 Chełmno 0404022 #> 199 Kijewo Królewskie 0404032 #> 200 Lisewo 0404042 #> 201 Papowo Biskupie 0404052 #> 202 Stolno 0404062 #> 203 Unisław 0404072 #> 204 Golub-Dobrzyń 0405011 #> 205 Ciechocin 0405022 #> 206 Golub-Dobrzyń 0405032 #> 207 Kowalewo Pomorskie 0405043 #> 208 Radomin 0405052 #> 209 Zbójno 0405062 #> 210 Grudziądz 0406012 #> 211 Gruta 0406022 #> 212 Łasin 0406033 #> 213 Radzyń Chełmiński 0406043 #> 214 Rogóźno 0406052 #> 215 Świecie nad Osą 0406062 #> 216 Inowrocław 0407011 #> 217 Dąbrowa Biskupia 0407022 #> 218 Gniewkowo 0407033 #> 219 Inowrocław 0407042 #> 220 Janikowo 0407053 #> 221 Kruszwica 0407063 #> 222 Pakość 0407073 #> 223 Rojewo 0407082 #> 224 Złotniki Kujawskie 0407092 #> 225 Lipno 0408011 #> 226 Bobrowniki 0408023 #> 227 Chrostkowo 0408032 #> 228 Dobrzyń nad Wisłą 0408043 #> 229 Kikół 0408053 #> 230 Lipno 0408062 #> 231 Skępe 0408073 #> 232 Tłuchowo 0408082 #> 233 Wielgie 0408092 #> 234 Dąbrowa 0409012 #> 235 Jeziora Wielkie 0409022 #> 236 Mogilno 0409033 #> 237 Strzelno 0409043 #> 238 Kcynia 0410013 #> 239 Mrocza 0410023 #> 240 Nakło nad Notecią 0410033 #> 241 Sadki 0410042 #> 242 Szubin 0410053 #> 243 Radziejów 0411011 #> 244 Bytoń 0411022 #> 245 Dobre 0411032 #> 246 Osięciny 0411042 #> 247 Piotrków Kujawski 0411053 #> 248 Radziejów 0411062 #> 249 Topólka 0411072 #> 250 Rypin 0412011 #> 251 Brzuze 0412022 #> 252 Rogowo 0412032 #> 253 Rypin 0412042 #> 254 Skrwilno 0412052 #> 255 Wąpielsk 0412062 #> 256 Kamień Krajeński 0413013 #> 257 Sępólno Krajeńskie 0413023 #> 258 Sośno 0413032 #> 259 Więcbork 0413043 #> 260 Bukowiec 0414012 #> 261 Dragacz 0414022 #> 262 Drzycim 0414032 #> 263 Jeżewo 0414042 #> 264 Lniano 0414052 #> 265 Nowe 0414063 #> 266 Osie 0414072 #> 267 Pruszcz 0414083 #> 268 Świecie 0414093 #> 269 Świekatowo 0414102 #> 270 Warlubie 0414112 #> 271 Chełmża 0415011 #> 272 Chełmża 0415022 #> 273 Czernikowo 0415032 #> 274 Lubicz 0415042 #> 275 Łubianka 0415052 #> 276 Łysomice 0415062 #> 277 Obrowo 0415072 #> 278 Wielka Nieszawka 0415082 #> 279 Zławieś Wielka 0415092 #> 280 Cekcyn 0416012 #> 281 Gostycyn 0416022 #> 282 Kęsowo 0416032 #> 283 Lubiewo 0416042 #> 284 Śliwice 0416052 #> 285 Tuchola 0416063 #> 286 Wąbrzeźno 0417011 #> 287 Dębowa Łąka 0417022 #> 288 Książki 0417032 #> 289 Płużnica 0417042 #> 290 Ryńsk 0417052 #> 291 Kowal 0418011 #> 292 Baruchowo 0418022 #> 293 Boniewo 0418032 #> 294 Brześć Kujawski 0418043 #> 295 Choceń 0418052 #> 296 Chodecz 0418063 #> 297 Fabianki 0418072 #> 298 Izbica Kujawska 0418083 #> 299 Kowal 0418092 #> 300 Lubanie 0418102 #> 301 Lubień Kujawski 0418113 #> 302 Lubraniec 0418123 #> 303 Włocławek 0418132 #> 304 Barcin 0419013 #> 305 Gąsawa 0419023 #> 306 Janowiec Wielkopolski 0419033 #> 307 Łabiszyn 0419043 #> 308 Rogowo 0419052 #> 309 Żnin 0419063 #> 310 Bydgoszcz 0461011 #> 311 Grudziądz 0462011 #> 312 Toruń 0463011 #> 313 Włocławek 0464011 #> 314 Międzyrzec Podlaski 0601011 #> 315 Terespol 0601021 #> 316 Biała Podlaska 0601032 #> 317 Drelów 0601042 #> 318 Janów Podlaski 0601052 #> 319 Kodeń 0601062 #> 320 Konstantynów 0601072 #> 321 Leśna Podlaska 0601082 #> 322 Łomazy 0601092 #> 323 Międzyrzec Podlaski 0601102 #> 324 Piszczac 0601113 #> 325 Rokitno 0601122 #> 326 Rossosz 0601132 #> 327 Sławatycze 0601142 #> 328 Sosnówka 0601152 #> 329 Terespol 0601162 #> 330 Tuczna 0601172 #> 331 Wisznice 0601182 #> 332 Zalesie 0601192 #> 333 Biłgoraj 0602011 #> 334 Aleksandrów 0602022 #> 335 Biłgoraj 0602032 #> 336 Biszcza 0602042 #> 337 Frampol 0602053 #> 338 Goraj 0602063 #> 339 Józefów 0602073 #> 340 Księżpol 0602082 #> 341 Łukowa 0602092 #> 342 Obsza 0602102 #> 343 Potok Górny 0602112 #> 344 Tarnogród 0602123 #> 345 Tereszpol 0602132 #> 346 Turobin 0602143 #> 347 Rejowiec Fabryczny 0603011 #> 348 Białopole 0603022 #> 349 Chełm 0603032 #> 350 Dorohusk 0603042 #> 351 Dubienka 0603052 #> 352 Kamień 0603062 #> 353 Leśniowice 0603072 #> 354 Rejowiec Fabryczny 0603082 #> 355 Ruda-Huta 0603092 #> 356 Sawin 0603102 #> 357 Siedliszcze 0603113 #> 358 Wierzbica 0603122 #> 359 Wojsławice 0603132 #> 360 Żmudź 0603142 #> 361 Rejowiec 0603153 #> 362 Hrubieszów 0604011 #> 363 Dołhobyczów 0604022 #> 364 Horodło 0604032 #> 365 Hrubieszów 0604042 #> 366 Mircze 0604052 #> 367 Trzeszczany 0604062 #> 368 Uchanie 0604072 #> 369 Werbkowice 0604082 #> 370 Batorz 0605012 #> 371 Chrzanów 0605022 #> 372 Dzwola 0605032 #> 373 Godziszów 0605042 #> 374 Janów Lubelski 0605053 #> 375 Modliborzyce 0605063 #> 376 Potok Wielki 0605072 #> 377 Krasnystaw 0606011 #> 378 Fajsławice 0606022 #> 379 Gorzków 0606032 #> 380 Izbica 0606043 #> 381 Krasnystaw 0606052 #> 382 Kraśniczyn 0606062 #> 383 Łopiennik Górny 0606072 #> 384 Rudnik 0606092 #> 385 Siennica Różana 0606102 #> 386 Żółkiewka 0606112 #> 387 Kraśnik 0607011 #> 388 Annopol 0607023 #> 389 Dzierzkowice 0607032 #> 390 Gościeradów 0607042 #> 391 Kraśnik 0607052 #> 392 Szastarka 0607062 #> 393 Trzydnik Duży 0607072 #> 394 Urzędów 0607083 #> 395 Wilkołaz 0607092 #> 396 Zakrzówek 0607102 #> 397 Lubartów 0608011 #> 398 Abramów 0608022 #> 399 Firlej 0608032 #> 400 Jeziorzany 0608042 #> 401 Kamionka 0608053 #> 402 Kock 0608063 #> 403 Lubartów 0608072 #> 404 Michów 0608082 #> 405 Niedźwiada 0608092 #> 406 Ostrów Lubelski 0608103 #> 407 Ostrówek 0608112 #> 408 Serniki 0608122 #> 409 Uścimów 0608132 #> 410 Bełżyce 0609013 #> 411 Borzechów 0609022 #> 412 Bychawa 0609033 #> 413 Garbów 0609042 #> 414 Głusk 0609052 #> 415 Jabłonna 0609062 #> 416 Jastków 0609072 #> 417 Konopnica 0609082 #> 418 Krzczonów 0609092 #> 419 Niedrzwica Duża 0609102 #> 420 Niemce 0609112 #> 421 Strzyżewice 0609122 #> 422 Wojciechów 0609132 #> 423 Wólka 0609142 #> 424 Wysokie 0609152 #> 425 Zakrzew 0609162 #> 426 Cyców 0610012 #> 427 Ludwin 0610022 #> 428 Łęczna 0610033 #> 429 Milejów 0610042 #> 430 Puchaczów 0610052 #> 431 Spiczyn 0610062 #> 432 Łuków 0611011 #> 433 Stoczek Łukowski 0611021 #> 434 Adamów 0611032 #> 435 Krzywda 0611042 #> 436 Łuków 0611052 #> 437 Serokomla 0611062 #> 438 Stanin 0611072 #> 439 Stoczek Łukowski 0611082 #> 440 Trzebieszów 0611092 #> 441 Wojcieszków 0611102 #> 442 Wola Mysłowska 0611112 #> 443 Chodel 0612012 #> 444 Józefów nad Wisłą 0612023 #> 445 Karczmiska 0612032 #> 446 Łaziska 0612042 #> 447 Opole Lubelskie 0612053 #> 448 Poniatowa 0612063 #> 449 Wilków 0612072 #> 450 Dębowa Kłoda 0613012 #> 451 Jabłoń 0613022 #> 452 Milanów 0613032 #> 453 Parczew 0613043 #> 454 Podedwórze 0613052 #> 455 Siemień 0613062 #> 456 Sosnowica 0613072 #> 457 Puławy 0614011 #> 458 Baranów 0614022 #> 459 Janowiec 0614032 #> 460 Kazimierz Dolny 0614043 #> 461 Końskowola 0614052 #> 462 Kurów 0614062 #> 463 Markuszów 0614072 #> 464 Nałęczów 0614083 #> 465 Puławy 0614092 #> 466 Wąwolnica 0614102 #> 467 Żyrzyn 0614112 #> 468 Radzyń Podlaski 0615011 #> 469 Borki 0615022 #> 470 Czemierniki 0615033 #> 471 Kąkolewnica 0615042 #> 472 Komarówka Podlaska 0615052 #> 473 Radzyń Podlaski 0615062 #> 474 Ulan-Majorat 0615072 #> 475 Wohyń 0615082 #> 476 Dęblin 0616011 #> 477 Kłoczew 0616022 #> 478 Nowodwór 0616032 #> 479 Ryki 0616043 #> 480 Stężyca 0616052 #> 481 Ułęż 0616062 #> 482 Świdnik 0617011 #> 483 Mełgiew 0617022 #> 484 Piaski 0617033 #> 485 Rybczewice 0617042 #> 486 Trawniki 0617052 #> 487 Tomaszów Lubelski 0618011 #> 488 Bełżec 0618022 #> 489 Jarczów 0618032 #> 490 Krynice 0618042 #> 491 Lubycza Królewska 0618053 #> 492 Łaszczów 0618063 #> 493 Rachanie 0618072 #> 494 Susiec 0618082 #> 495 Tarnawatka 0618092 #> 496 Telatyn 0618102 #> 497 Tomaszów Lubelski 0618112 #> 498 Tyszowce 0618123 #> 499 Ulhówek 0618132 #> 500 Włodawa 0619011 #> 501 Hanna 0619022 #> 502 Hańsk 0619032 #> 503 Stary Brus 0619042 #> 504 Urszulin 0619052 #> 505 Włodawa 0619062 #> 506 Wola Uhruska 0619072 #> 507 Wyryki 0619082 #> 508 Adamów 0620012 #> 509 Grabowiec 0620022 #> 510 Komarów-Osada 0620032 #> 511 Krasnobród 0620043 #> 512 Łabunie 0620052 #> 513 Miączyn 0620062 #> 514 Nielisz 0620072 #> 515 Radecznica 0620082 #> 516 Sitno 0620092 #> 517 Skierbieszów 0620102 #> 518 Stary Zamość 0620112 #> 519 Sułów 0620122 #> 520 Szczebrzeszyn 0620133 #> 521 Zamość 0620142 #> 522 Zwierzyniec 0620153 #> 523 Biała Podlaska 0661011 #> 524 Chełm 0662011 #> 525 Lublin 0663011 #> 526 Zamość 0664011 #> 527 Kostrzyn nad Odrą 0801011 #> 528 Bogdaniec 0801022 #> 529 Deszczno 0801032 #> 530 Kłodawa 0801042 #> 531 Lubiszyn 0801052 #> 532 Santok 0801062 #> 533 Witnica 0801073 #> 534 Gubin 0802011 #> 535 Bobrowice 0802022 #> 536 Bytnica 0802032 #> 537 Dąbie 0802042 #> 538 Gubin 0802052 #> 539 Krosno Odrzańskie 0802063 #> 540 Maszewo 0802072 #> 541 Bledzew 0803012 #> 542 Międzyrzecz 0803023 #> 543 Przytoczna 0803032 #> 544 Pszczew 0803042 #> 545 Skwierzyna 0803053 #> 546 Trzciel 0803063 #> 547 Nowa Sól 0804011 #> 548 Bytom Odrzański 0804023 #> 549 Kolsko 0804032 #> 550 Kożuchów 0804043 #> 551 Nowa Sól 0804052 #> 552 Nowe Miasteczko 0804063 #> 553 Otyń 0804073 #> 554 Siedlisko 0804082 #> 555 Cybinka 0805013 #> 556 Górzyca 0805022 #> 557 Ośno Lubuskie 0805033 #> 558 Rzepin 0805043 #> 559 Słubice 0805053 #> 560 Dobiegniew 0806013 #> 561 Drezdenko 0806023 #> 562 Stare Kurowo 0806032 #> 563 Strzelce Krajeńskie 0806043 #> 564 Zwierzyn 0806052 #> 565 Krzeszyce 0807012 #> 566 Lubniewice 0807023 #> 567 Słońsk 0807032 #> 568 Sulęcin 0807043 #> 569 Torzym 0807053 #> 570 Lubrza 0808012 #> 571 Łagów 0808022 #> 572 Skąpe 0808032 #> 573 Szczaniec 0808042 #> 574 Świebodzin 0808053 #> 575 Zbąszynek 0808063 #> 576 Babimost 0809013 #> 577 Bojadła 0809022 #> 578 Czerwieńsk 0809033 #> 579 Kargowa 0809043 #> 580 Nowogród Bobrzański 0809053 #> 581 Sulechów 0809063 #> 582 Świdnica 0809072 #> 583 Trzebiechów 0809082 #> 584 Zabór 0809092 #> 585 Gozdnica 0810011 #> 586 Żagań 0810021 #> 587 Brzeźnica 0810032 #> 588 Iłowa 0810043 #> 589 Małomice 0810053 #> 590 Niegosławice 0810062 #> 591 Szprotawa 0810073 #> 592 Wymiarki 0810082 #> 593 Żagań 0810092 #> 594 Łęknica 0811011 #> 595 Żary 0811021 #> 596 Brody 0811033 #> 597 Jasień 0811043 #> 598 Lipinki Łużyckie 0811052 #> 599 Lubsko 0811063 #> 600 Przewóz 0811072 #> 601 Trzebiel 0811082 #> 602 Tuplice 0811092 #> 603 Żary 0811102 #> 604 Sława 0812013 #> 605 Szlichtyngowa 0812023 #> 606 Wschowa 0812033 #> 607 Gorzów Wielkopolski 0861011 #> 608 Zielona Góra 0862011 #> 609 Bełchatów 1001011 #> 610 Bełchatów 1001022 #> 611 Drużbice 1001032 #> 612 Kleszczów 1001042 #> 613 Kluki 1001052 #> 614 Rusiec 1001062 #> 615 Szczerców 1001072 #> 616 Zelów 1001083 #> 617 Kutno 1002011 #> 618 Bedlno 1002022 #> 619 Dąbrowice 1002033 #> 620 Krośniewice 1002043 #> 621 Krzyżanów 1002052 #> 622 Kutno 1002062 #> 623 Łanięta 1002072 #> 624 Nowe Ostrowy 1002082 #> 625 Oporów 1002092 #> 626 Strzelce 1002102 #> 627 Żychlin 1002113 #> 628 Buczek 1003012 #> 629 Łask 1003023 #> 630 Sędziejowice 1003032 #> 631 Widawa 1003042 #> 632 Wodzierady 1003052 #> 633 Łęczyca 1004011 #> 634 Daszyna 1004022 #> 635 Góra Świętej Małgorzaty 1004032 #> 636 Grabów 1004043 #> 637 Łęczyca 1004052 #> 638 Piątek 1004063 #> 639 Świnice Warckie 1004072 #> 640 Witonia 1004082 #> 641 Łowicz 1005011 #> 642 Bielawy 1005022 #> 643 Chąśno 1005032 #> 644 Domaniewice 1005042 #> 645 Kiernozia 1005053 #> 646 Kocierzew Południowy 1005062 #> 647 Łowicz 1005072 #> 648 Łyszkowice 1005082 #> 649 Nieborów 1005092 #> 650 Zduny 1005102 #> 651 Andrespol 1006022 #> 652 Brójce 1006032 #> 653 Koluszki 1006073 #> 654 Nowosolna 1006082 #> 655 Rzgów 1006103 #> 656 Tuszyn 1006113 #> 657 Białaczów 1007013 #> 658 Drzewica 1007023 #> 659 Mniszków 1007032 #> 660 Opoczno 1007043 #> 661 Paradyż 1007052 #> 662 Poświętne 1007062 #> 663 Sławno 1007072 #> 664 Żarnów 1007083 #> 665 Konstantynów Łódzki 1008011 #> 666 Pabianice 1008021 #> 667 Dłutów 1008032 #> 668 Dobroń 1008042 #> 669 Ksawerów 1008052 #> 670 Lutomiersk 1008063 #> 671 Pabianice 1008072 #> 672 Działoszyn 1009013 #> 673 Kiełczygłów 1009022 #> 674 Nowa Brzeźnica 1009032 #> 675 Pajęczno 1009043 #> 676 Rząśnia 1009052 #> 677 Siemkowice 1009062 #> 678 Strzelce Wielkie 1009072 #> 679 Sulmierzyce 1009082 #> 680 Aleksandrów 1010012 #> 681 Czarnocin 1010022 #> 682 Gorzkowice 1010032 #> 683 Grabica 1010042 #> 684 Łęki Szlacheckie 1010052 #> 685 Moszczenica 1010062 #> 686 Ręczno 1010072 #> 687 Rozprza 1010083 #> 688 Sulejów 1010093 #> 689 Wola Krzysztoporska 1010102 #> 690 Wolbórz 1010113 #> 691 Dalików 1011012 #> 692 Pęczniew 1011022 #> 693 Poddębice 1011033 #> 694 Uniejów 1011043 #> 695 Wartkowice 1011052 #> 696 Zadzim 1011062 #> 697 Radomsko 1012011 #> 698 Dobryszyce 1012022 #> 699 Gidle 1012032 #> 700 Gomunice 1012042 #> 701 Kamieńsk 1012053 #> 702 Kobiele Wielkie 1012062 #> 703 Kodrąb 1012072 #> 704 Lgota Wielka 1012082 #> 705 Ładzice 1012092 #> 706 Masłowice 1012102 #> 707 Przedbórz 1012113 #> 708 Radomsko 1012122 #> 709 Wielgomłyny 1012132 #> 710 Żytno 1012142 #> 711 Rawa Mazowiecka 1013011 #> 712 Biała Rawska 1013023 #> 713 Cielądz 1013032 #> 714 Rawa Mazowiecka 1013042 #> 715 Regnów 1013052 #> 716 Sadkowice 1013062 #> 717 Sieradz 1014011 #> 718 Błaszki 1014023 #> 719 Brąszewice 1014032 #> 720 Brzeźnio 1014042 #> 721 Burzenin 1014052 #> 722 Goszczanów 1014062 #> 723 Klonowa 1014072 #> 724 Sieradz 1014082 #> 725 Warta 1014093 #> 726 Wróblew 1014102 #> 727 Złoczew 1014113 #> 728 Bolimów 1015013 #> 729 Głuchów 1015022 #> 730 Godzianów 1015032 #> 731 Kowiesy 1015042 #> 732 Lipce Reymontowskie 1015052 #> 733 Maków 1015062 #> 734 Nowy Kawęczyn 1015072 #> 735 Skierniewice 1015082 #> 736 Słupia 1015092 #> 737 Tomaszów Mazowiecki 1016011 #> 738 Będków 1016022 #> 739 Budziszewice 1016032 #> 740 Czerniewice 1016042 #> 741 Inowłódz 1016053 #> 742 Lubochnia 1016062 #> 743 Rokiciny 1016072 #> 744 Rzeczyca 1016082 #> 745 Tomaszów Mazowiecki 1016092 #> 746 Ujazd 1016103 #> 747 Żelechlinek 1016112 #> 748 Biała 1017012 #> 749 Czarnożyły 1017022 #> 750 Konopnica 1017032 #> 751 Mokrsko 1017042 #> 752 Osjaków 1017053 #> 753 Ostrówek 1017062 #> 754 Pątnów 1017072 #> 755 Skomlin 1017082 #> 756 Wieluń 1017093 #> 757 Wierzchlas 1017102 #> 758 Bolesławiec 1018013 #> 759 Czastary 1018022 #> 760 Galewice 1018032 #> 761 Lututów 1018043 #> 762 Łubnice 1018052 #> 763 Sokolniki 1018062 #> 764 Wieruszów 1018073 #> 765 Zduńska Wola 1019011 #> 766 Szadek 1019023 #> 767 Zapolice 1019032 #> 768 Zduńska Wola 1019042 #> 769 Głowno 1020011 #> 770 Ozorków 1020021 #> 771 Zgierz 1020031 #> 772 Aleksandrów Łódzki 1020043 #> 773 Głowno 1020052 #> 774 Ozorków 1020062 #> 775 Parzęczew 1020073 #> 776 Stryków 1020083 #> 777 Zgierz 1020092 #> 778 Brzeziny 1021011 #> 779 Brzeziny 1021022 #> 780 Dmosin 1021032 #> 781 Jeżów 1021043 #> 782 Rogów 1021052 #> 783 Łódź 1061011 #> 784 Piotrków Trybunalski 1062011 #> 785 Skierniewice 1063011 #> 786 Bochnia 1201011 #> 787 Bochnia 1201022 #> 788 Drwinia 1201032 #> 789 Lipnica Murowana 1201042 #> 790 Łapanów 1201052 #> 791 Nowy Wiśnicz 1201063 #> 792 Rzezawa 1201072 #> 793 Trzciana 1201082 #> 794 Żegocina 1201092 #> 795 Borzęcin 1202012 #> 796 Brzesko 1202023 #> 797 Czchów 1202033 #> 798 Dębno 1202042 #> 799 Gnojnik 1202052 #> 800 Iwkowa 1202062 #> 801 Szczurowa 1202072 #> 802 Alwernia 1203013 #> 803 Babice 1203022 #> 804 Chrzanów 1203033 #> 805 Libiąż 1203043 #> 806 Trzebinia 1203053 #> 807 Bolesław 1204012 #> 808 Dąbrowa Tarnowska 1204023 #> 809 Gręboszów 1204032 #> 810 Mędrzechów 1204042 #> 811 Olesno 1204052 #> 812 Radgoszcz 1204062 #> 813 Szczucin 1204073 #> 814 Gorlice 1205011 #> 815 Biecz 1205023 #> 816 Bobowa 1205033 #> 817 Gorlice 1205042 #> 818 Lipinki 1205052 #> 819 Łużna 1205062 #> 820 Moszczenica 1205072 #> 821 Ropa 1205082 #> 822 Sękowa 1205092 #> 823 Uście Gorlickie 1205102 #> 824 Czernichów 1206012 #> 825 Igołomia-Wawrzeńczyce 1206022 #> 826 Iwanowice 1206032 #> 827 Jerzmanowice-Przeginia 1206042 #> 828 Kocmyrzów-Luborzyca 1206052 #> 829 Krzeszowice 1206063 #> 830 Liszki 1206072 #> 831 Michałowice 1206082 #> 832 Mogilany 1206092 #> 833 Skała 1206103 #> 834 Skawina 1206113 #> 835 Słomniki 1206123 #> 836 Sułoszowa 1206132 #> 837 Świątniki Górne 1206143 #> 838 Wielka Wieś 1206152 #> 839 Zabierzów 1206162 #> 840 Zielonki 1206172 #> 841 Limanowa 1207011 #> 842 Mszana Dolna 1207021 #> 843 Dobra 1207032 #> 844 Jodłownik 1207042 #> 845 Kamienica 1207052 #> 846 Laskowa 1207062 #> 847 Limanowa 1207072 #> 848 Łukowica 1207082 #> 849 Mszana Dolna 1207092 #> 850 Niedźwiedź 1207102 #> 851 Słopnice 1207112 #> 852 Tymbark 1207122 #> 853 Charsznica 1208012 #> 854 Gołcza 1208022 #> 855 Kozłów 1208032 #> 856 Książ Wielki 1208043 #> 857 Miechów 1208053 #> 858 Racławice 1208062 #> 859 Słaboszów 1208072 #> 860 Dobczyce 1209013 #> 861 Lubień 1209022 #> 862 Myślenice 1209033 #> 863 Pcim 1209042 #> 864 Raciechowice 1209052 #> 865 Siepraw 1209062 #> 866 Sułkowice 1209073 #> 867 Tokarnia 1209082 #> 868 Wiśniowa 1209092 #> 869 Grybów 1210011 #> 870 Chełmiec 1210022 #> 871 Gródek nad Dunajcem 1210032 #> 872 Grybów 1210042 #> 873 Kamionka Wielka 1210052 #> 874 Korzenna 1210062 #> 875 Krynica-Zdrój 1210073 #> 876 Łabowa 1210082 #> 877 Łącko 1210092 #> 878 Łososina Dolna 1210102 #> 879 Muszyna 1210113 #> 880 Nawojowa 1210122 #> 881 Piwniczna-Zdrój 1210133 #> 882 Podegrodzie 1210142 #> 883 Rytro 1210152 #> 884 Stary Sącz 1210163 #> 885 Nowy Targ 1211011 #> 886 Szczawnica 1211023 #> 887 Czarny Dunajec 1211033 #> 888 Czorsztyn 1211042 #> 889 Jabłonka 1211052 #> 890 Krościenko nad Dunajcem 1211062 #> 891 Lipnica Wielka 1211072 #> 892 Łapsze Niżne 1211082 #> 893 Nowy Targ 1211092 #> 894 Ochotnica Dolna 1211102 #> 895 Raba Wyżna 1211112 #> 896 Rabka-Zdrój 1211123 #> 897 Spytkowice 1211132 #> 898 Szaflary 1211142 #> 899 Bukowno 1212011 #> 900 Bolesław 1212032 #> 901 Klucze 1212042 #> 902 Olkusz 1212053 #> 903 Trzyciąż 1212062 #> 904 Wolbrom 1212073 #> 905 Oświęcim 1213011 #> 906 Brzeszcze 1213023 #> 907 Chełmek 1213033 #> 908 Kęty 1213043 #> 909 Osiek 1213052 #> 910 Oświęcim 1213062 #> 911 Polanka Wielka 1213072 #> 912 Przeciszów 1213082 #> 913 Zator 1213093 #> 914 Koniusza 1214012 #> 915 Koszyce 1214023 #> 916 Nowe Brzesko 1214033 #> 917 Pałecznica 1214042 #> 918 Proszowice 1214053 #> 919 Radziemice 1214062 #> 920 Jordanów 1215011 #> 921 Sucha Beskidzka 1215021 #> 922 Budzów 1215032 #> 923 Bystra-Sidzina 1215042 #> 924 Jordanów 1215052 #> 925 Maków Podhalański 1215063 #> 926 Stryszawa 1215072 #> 927 Zawoja 1215082 #> 928 Zembrzyce 1215092 #> 929 Ciężkowice 1216013 #> 930 Gromnik 1216022 #> 931 Lisia Góra 1216032 #> 932 Pleśna 1216042 #> 933 Radłów 1216053 #> 934 Ryglice 1216063 #> 935 Rzepiennik Strzyżewski 1216072 #> 936 Skrzyszów 1216082 #> 937 Tarnów 1216092 #> 938 Tuchów 1216103 #> 939 Wierzchosławice 1216112 #> 940 Wietrzychowice 1216122 #> 941 Wojnicz 1216133 #> 942 Zakliczyn 1216143 #> 943 Żabno 1216153 #> 944 Szerzyny 1216162 #> 945 Zakopane 1217011 #> 946 Biały Dunajec 1217022 #> 947 Bukowina Tatrzańska 1217032 #> 948 Kościelisko 1217042 #> 949 Poronin 1217052 #> 950 Andrychów 1218013 #> 951 Brzeźnica 1218022 #> 952 Kalwaria Zebrzydowska 1218033 #> 953 Lanckorona 1218042 #> 954 Mucharz 1218052 #> 955 Spytkowice 1218062 #> 956 Stryszów 1218072 #> 957 Tomice 1218082 #> 958 Wadowice 1218093 #> 959 Wieprz 1218102 #> 960 Biskupice 1219012 #> 961 Gdów 1219022 #> 962 Kłaj 1219032 #> 963 Niepołomice 1219043 #> 964 Wieliczka 1219053 #> 965 Kraków 1261011 #> 966 Nowy Sącz 1262011 #> 967 Tarnów 1263011 #> 968 Białobrzegi 1401013 #> 969 Promna 1401022 #> 970 Radzanów 1401032 #> 971 Stara Błotnica 1401042 #> 972 Stromiec 1401052 #> 973 Wyśmierzyce 1401063 #> 974 Ciechanów 1402011 #> 975 Ciechanów 1402022 #> 976 Glinojeck 1402033 #> 977 Gołymin-Ośrodek 1402042 #> 978 Grudusk 1402052 #> 979 Ojrzeń 1402062 #> 980 Opinogóra Górna 1402072 #> 981 Regimin 1402082 #> 982 Sońsk 1402092 #> 983 Garwolin 1403011 #> 984 Łaskarzew 1403021 #> 985 Borowie 1403032 #> 986 Garwolin 1403042 #> 987 Górzno 1403052 #> 988 Łaskarzew 1403062 #> 989 Maciejowice 1403073 #> 990 Miastków Kościelny 1403082 #> 991 Parysów 1403092 #> 992 Pilawa 1403103 #> 993 Sobolew 1403112 #> 994 Trojanów 1403122 #> 995 Wilga 1403132 #> 996 Żelechów 1403143 #> 997 Gostynin 1404011 #> 998 Gostynin 1404022 #> 999 Pacyna 1404032 #> 1000 Sanniki 1404043 #> 1001 Szczawin Kościelny 1404052 #> 1002 Milanówek 1405011 #> 1003 Podkowa Leśna 1405021 #> 1004 Baranów 1405032 #> 1005 Grodzisk Mazowiecki 1405043 #> 1006 Jaktorów 1405052 #> 1007 Żabia Wola 1405062 #> 1008 Belsk Duży 1406012 #> 1009 Błędów 1406022 #> 1010 Chynów 1406032 #> 1011 Goszczyn 1406042 #> 1012 Grójec 1406053 #> 1013 Jasieniec 1406062 #> 1014 Mogielnica 1406073 #> 1015 Nowe Miasto nad Pilicą 1406083 #> 1016 Pniewy 1406092 #> 1017 Warka 1406113 #> 1018 Garbatka-Letnisko 1407012 #> 1019 Głowaczów 1407023 #> 1020 Gniewoszów 1407032 #> 1021 Grabów nad Pilicą 1407042 #> 1022 Kozienice 1407053 #> 1023 Magnuszew 1407063 #> 1024 Sieciechów 1407072 #> 1025 Legionowo 1408011 #> 1026 Jabłonna 1408022 #> 1027 Nieporęt 1408032 #> 1028 Serock 1408043 #> 1029 Wieliszew 1408052 #> 1030 Chotcza 1409012 #> 1031 Ciepielów 1409023 #> 1032 Lipsko 1409033 #> 1033 Rzeczniów 1409042 #> 1034 Sienno 1409053 #> 1035 Solec nad Wisłą 1409063 #> 1036 Huszlew 1410012 #> 1037 Łosice 1410023 #> 1038 Olszanka 1410032 #> 1039 Platerów 1410042 #> 1040 Sarnaki 1410052 #> 1041 Stara Kornica 1410062 #> 1042 Maków Mazowiecki 1411011 #> 1043 Czerwonka 1411022 #> 1044 Karniewo 1411032 #> 1045 Krasnosielc 1411042 #> 1046 Młynarze 1411052 #> 1047 Płoniawy-Bramura 1411062 #> 1048 Różan 1411073 #> 1049 Rzewnie 1411082 #> 1050 Sypniewo 1411092 #> 1051 Szelków 1411102 #> 1052 Mińsk Mazowiecki 1412011 #> 1053 Cegłów 1412043 #> 1054 Dębe Wielkie 1412052 #> 1055 Dobre 1412063 #> 1056 Halinów 1412073 #> 1057 Jakubów 1412082 #> 1058 Kałuszyn 1412093 #> 1059 Latowicz 1412103 #> 1060 Mińsk Mazowiecki 1412112 #> 1061 Mrozy 1412123 #> 1062 Siennica 1412133 #> 1063 Stanisławów 1412142 #> 1064 Sulejówek 1412151 #> 1065 Mława 1413011 #> 1066 Dzierzgowo 1413022 #> 1067 Lipowiec Kościelny 1413032 #> 1068 Radzanów 1413042 #> 1069 Strzegowo 1413052 #> 1070 Stupsk 1413062 #> 1071 Szreńsk 1413072 #> 1072 Szydłowo 1413082 #> 1073 Wieczfnia Kościelna 1413092 #> 1074 Wiśniewo 1413102 #> 1075 Nowy Dwór Mazowiecki 1414011 #> 1076 Czosnów 1414022 #> 1077 Leoncin 1414032 #> 1078 Nasielsk 1414043 #> 1079 Pomiechówek 1414052 #> 1080 Zakroczym 1414063 #> 1081 Baranowo 1415012 #> 1082 Czarnia 1415022 #> 1083 Czerwin 1415032 #> 1084 Goworowo 1415042 #> 1085 Kadzidło 1415052 #> 1086 Lelis 1415062 #> 1087 Łyse 1415072 #> 1088 Myszyniec 1415083 #> 1089 Olszewo-Borki 1415092 #> 1090 Rzekuń 1415102 #> 1091 Troszyn 1415112 #> 1092 Ostrów Mazowiecka 1416011 #> 1093 Andrzejewo 1416022 #> 1094 Boguty-Pianki 1416032 #> 1095 Brok 1416043 #> 1096 Małkinia Górna 1416052 #> 1097 Nur 1416062 #> 1098 Ostrów Mazowiecka 1416072 #> 1099 Stary Lubotyń 1416082 #> 1100 Szulborze Wielkie 1416092 #> 1101 Wąsewo 1416102 #> 1102 Zaręby Kościelne 1416112 #> 1103 Józefów 1417011 #> 1104 Otwock 1417021 #> 1105 Celestynów 1417032 #> 1106 Karczew 1417043 #> 1107 Kołbiel 1417052 #> 1108 Osieck 1417063 #> 1109 Sobienie-Jeziory 1417072 #> 1110 Wiązowna 1417082 #> 1111 Góra Kalwaria 1418013 #> 1112 Konstancin-Jeziorna 1418023 #> 1113 Lesznowola 1418032 #> 1114 Piaseczno 1418043 #> 1115 Prażmów 1418052 #> 1116 Tarczyn 1418063 #> 1117 Bielsk 1419012 #> 1118 Bodzanów 1419023 #> 1119 Brudzeń Duży 1419032 #> 1120 Bulkowo 1419042 #> 1121 Drobin 1419053 #> 1122 Gąbin 1419063 #> 1123 Łąck 1419072 #> 1124 Mała Wieś 1419082 #> 1125 Nowy Duninów 1419092 #> 1126 Radzanowo 1419102 #> 1127 Słubice 1419112 #> 1128 Słupno 1419122 #> 1129 Stara Biała 1419132 #> 1130 Staroźreby 1419142 #> 1131 Wyszogród 1419153 #> 1132 Płońsk 1420011 #> 1133 Raciąż 1420021 #> 1134 Baboszewo 1420032 #> 1135 Czerwińsk nad Wisłą 1420043 #> 1136 Dzierzążnia 1420052 #> 1137 Joniec 1420062 #> 1138 Naruszewo 1420072 #> 1139 Nowe Miasto 1420083 #> 1140 Płońsk 1420092 #> 1141 Raciąż 1420102 #> 1142 Sochocin 1420113 #> 1143 Załuski 1420122 #> 1144 Piastów 1421011 #> 1145 Pruszków 1421021 #> 1146 Brwinów 1421033 #> 1147 Michałowice 1421042 #> 1148 Nadarzyn 1421052 #> 1149 Raszyn 1421062 #> 1150 Przasnysz 1422011 #> 1151 Chorzele 1422023 #> 1152 Czernice Borowe 1422032 #> 1153 Jednorożec 1422042 #> 1154 Krasne 1422052 #> 1155 Krzynowłoga Mała 1422062 #> 1156 Przasnysz 1422072 #> 1157 Borkowice 1423012 #> 1158 Gielniów 1423023 #> 1159 Klwów 1423032 #> 1160 Odrzywół 1423043 #> 1161 Potworów 1423052 #> 1162 Przysucha 1423063 #> 1163 Rusinów 1423072 #> 1164 Wieniawa 1423082 #> 1165 Gzy 1424012 #> 1166 Obryte 1424022 #> 1167 Pokrzywnica 1424032 #> 1168 Pułtusk 1424043 #> 1169 Świercze 1424052 #> 1170 Winnica 1424062 #> 1171 Zatory 1424072 #> 1172 Pionki 1425011 #> 1173 Gózd 1425022 #> 1174 Iłża 1425033 #> 1175 Jastrzębia 1425042 #> 1176 Jedlińsk 1425052 #> 1177 Jedlnia-Letnisko 1425063 #> 1178 Kowala 1425072 #> 1179 Pionki 1425082 #> 1180 Przytyk 1425093 #> 1181 Skaryszew 1425103 #> 1182 Wierzbica 1425112 #> 1183 Wolanów 1425122 #> 1184 Zakrzew 1425132 #> 1185 Domanice 1426012 #> 1186 Korczew 1426022 #> 1187 Kotuń 1426032 #> 1188 Mokobody 1426042 #> 1189 Mordy 1426053 #> 1190 Paprotnia 1426062 #> 1191 Przesmyki 1426072 #> 1192 Siedlce 1426082 #> 1193 Skórzec 1426092 #> 1194 Suchożebry 1426102 #> 1195 Wiśniew 1426112 #> 1196 Wodynie 1426122 #> 1197 Zbuczyn 1426132 #> 1198 Sierpc 1427011 #> 1199 Gozdowo 1427022 #> 1200 Mochowo 1427032 #> 1201 Rościszewo 1427042 #> 1202 Sierpc 1427052 #> 1203 Szczutowo 1427062 #> 1204 Zawidz 1427072 #> 1205 Sochaczew 1428011 #> 1206 Brochów 1428022 #> 1207 Iłów 1428032 #> 1208 Młodzieszyn 1428042 #> 1209 Nowa Sucha 1428052 #> 1210 Rybno 1428062 #> 1211 Sochaczew 1428072 #> 1212 Teresin 1428082 #> 1213 Sokołów Podlaski 1429011 #> 1214 Bielany 1429022 #> 1215 Ceranów 1429032 #> 1216 Jabłonna Lacka 1429042 #> 1217 Kosów Lacki 1429053 #> 1218 Repki 1429062 #> 1219 Sabnie 1429072 #> 1220 Sokołów Podlaski 1429082 #> 1221 Sterdyń 1429092 #> 1222 Chlewiska 1430012 #> 1223 Jastrząb 1430023 #> 1224 Mirów 1430032 #> 1225 Orońsko 1430042 #> 1226 Szydłowiec 1430053 #> 1227 Błonie 1432013 #> 1228 Izabelin 1432022 #> 1229 Kampinos 1432032 #> 1230 Leszno 1432042 #> 1231 Łomianki 1432053 #> 1232 Ożarów Mazowiecki 1432063 #> 1233 Stare Babice 1432072 #> 1234 Węgrów 1433011 #> 1235 Grębków 1433022 #> 1236 Korytnica 1433032 #> 1237 Liw 1433042 #> 1238 Łochów 1433053 #> 1239 Miedzna 1433062 #> 1240 Sadowne 1433072 #> 1241 Stoczek 1433082 #> 1242 Wierzbno 1433092 #> 1243 Kobyłka 1434011 #> 1244 Marki 1434021 #> 1245 Ząbki 1434031 #> 1246 Zielonka 1434041 #> 1247 Dąbrówka 1434052 #> 1248 Jadów 1434063 #> 1249 Klembów 1434072 #> 1250 Poświętne 1434082 #> 1251 Radzymin 1434093 #> 1252 Strachówka 1434102 #> 1253 Tłuszcz 1434113 #> 1254 Wołomin 1434123 #> 1255 Brańszczyk 1435012 #> 1256 Długosiodło 1435022 #> 1257 Rząśnik 1435032 #> 1258 Somianka 1435042 #> 1259 Wyszków 1435053 #> 1260 Zabrodzie 1435062 #> 1261 Kazanów 1436012 #> 1262 Policzna 1436022 #> 1263 Przyłęk 1436032 #> 1264 Tczów 1436042 #> 1265 Zwoleń 1436053 #> 1266 Bieżuń 1437013 #> 1267 Kuczbork-Osada 1437022 #> 1268 Lubowidz 1437033 #> 1269 Lutocin 1437042 #> 1270 Siemiątkowo 1437052 #> 1271 Żuromin 1437063 #> 1272 Żyrardów 1438011 #> 1273 Mszczonów 1438023 #> 1274 Puszcza Mariańska 1438032 #> 1275 Radziejowice 1438042 #> 1276 Wiskitki 1438053 #> 1277 Ostrołęka 1461011 #> 1278 Płock 1462011 #> 1279 Radom 1463011 #> 1280 Siedlce 1464011 #> 1281 Warszawa 1465011 #> 1282 Brzeg 1601011 #> 1283 Skarbimierz 1601022 #> 1284 Grodków 1601033 #> 1285 Lewin Brzeski 1601043 #> 1286 Lubsza 1601052 #> 1287 Olszanka 1601062 #> 1288 Baborów 1602013 #> 1289 Branice 1602022 #> 1290 Głubczyce 1602033 #> 1291 Kietrz 1602043 #> 1292 Kędzierzyn-Koźle 1603011 #> 1293 Bierawa 1603022 #> 1294 Cisek 1603032 #> 1295 Pawłowiczki 1603042 #> 1296 Polska Cerekiew 1603052 #> 1297 Reńska Wieś 1603062 #> 1298 Byczyna 1604013 #> 1299 Kluczbork 1604023 #> 1300 Lasowice Wielkie 1604032 #> 1301 Wołczyn 1604043 #> 1302 Gogolin 1605013 #> 1303 Krapkowice 1605023 #> 1304 Strzeleczki 1605033 #> 1305 Walce 1605042 #> 1306 Zdzieszowice 1605053 #> 1307 Domaszowice 1606012 #> 1308 Namysłów 1606023 #> 1309 Pokój 1606032 #> 1310 Świerczów 1606042 #> 1311 Wilków 1606052 #> 1312 Głuchołazy 1607013 #> 1313 Kamiennik 1607022 #> 1314 Korfantów 1607033 #> 1315 Łambinowice 1607042 #> 1316 Nysa 1607053 #> 1317 Otmuchów 1607063 #> 1318 Paczków 1607073 #> 1319 Pakosławice 1607082 #> 1320 Skoroszyce 1607092 #> 1321 Dobrodzień 1608013 #> 1322 Gorzów Śląski 1608023 #> 1323 Olesno 1608033 #> 1324 Praszka 1608043 #> 1325 Radłów 1608052 #> 1326 Rudniki 1608062 #> 1327 Zębowice 1608072 #> 1328 Chrząstowice 1609012 #> 1329 Dąbrowa 1609022 #> 1330 Dobrzeń Wielki 1609032 #> 1331 Komprachcice 1609042 #> 1332 Łubniany 1609052 #> 1333 Murów 1609062 #> 1334 Niemodlin 1609073 #> 1335 Ozimek 1609083 #> 1336 Popielów 1609092 #> 1337 Prószków 1609103 #> 1338 Tarnów Opolski 1609112 #> 1339 Tułowice 1609123 #> 1340 Turawa 1609132 #> 1341 Biała 1610013 #> 1342 Głogówek 1610023 #> 1343 Lubrza 1610032 #> 1344 Prudnik 1610043 #> 1345 Izbicko 1611012 #> 1346 Jemielnica 1611022 #> 1347 Kolonowskie 1611033 #> 1348 Leśnica 1611043 #> 1349 Strzelce Opolskie 1611053 #> 1350 Ujazd 1611063 #> 1351 Zawadzkie 1611073 #> 1352 Opole 1661011 #> 1353 Czarna 1801032 #> 1354 Lutowiska 1801052 #> 1355 Ustrzyki Dolne 1801083 #> 1356 Brzozów 1802013 #> 1357 Domaradz 1802022 #> 1358 Dydnia 1802032 #> 1359 Haczów 1802042 #> 1360 Jasienica Rosielna 1802052 #> 1361 Nozdrzec 1802062 #> 1362 Dębica 1803011 #> 1363 Brzostek 1803023 #> 1364 Czarna 1803032 #> 1365 Dębica 1803042 #> 1366 Jodłowa 1803052 #> 1367 Pilzno 1803063 #> 1368 Żyraków 1803072 #> 1369 Jarosław 1804011 #> 1370 Radymno 1804021 #> 1371 Chłopice 1804032 #> 1372 Jarosław 1804042 #> 1373 Laszki 1804052 #> 1374 Pawłosiów 1804062 #> 1375 Pruchnik 1804073 #> 1376 Radymno 1804082 #> 1377 Rokietnica 1804092 #> 1378 Roźwienica 1804102 #> 1379 Wiązownica 1804112 #> 1380 Jasło 1805011 #> 1381 Brzyska 1805022 #> 1382 Dębowiec 1805032 #> 1383 Jasło 1805042 #> 1384 Kołaczyce 1805053 #> 1385 Krempna 1805062 #> 1386 Nowy Żmigród 1805072 #> 1387 Osiek Jasielski 1805082 #> 1388 Skołyszyn 1805092 #> 1389 Tarnowiec 1805112 #> 1390 Cmolas 1806012 #> 1391 Kolbuszowa 1806023 #> 1392 Majdan Królewski 1806032 #> 1393 Niwiska 1806042 #> 1394 Raniżów 1806052 #> 1395 Dzikowiec 1806062 #> 1396 Chorkówka 1807012 #> 1397 Dukla 1807023 #> 1398 Iwonicz-Zdrój 1807033 #> 1399 Jedlicze 1807043 #> 1400 Korczyna 1807052 #> 1401 Krościenko Wyżne 1807062 #> 1402 Miejsce Piastowe 1807072 #> 1403 Rymanów 1807083 #> 1404 Wojaszówka 1807092 #> 1405 Jaśliska 1807102 #> 1406 Leżajsk 1808011 #> 1407 Grodzisko Dolne 1808022 #> 1408 Kuryłówka 1808032 #> 1409 Leżajsk 1808042 #> 1410 Nowa Sarzyna 1808053 #> 1411 Lubaczów 1809011 #> 1412 Cieszanów 1809023 #> 1413 Horyniec-Zdrój 1809032 #> 1414 Lubaczów 1809042 #> 1415 Narol 1809053 #> 1416 Oleszyce 1809063 #> 1417 Stary Dzików 1809072 #> 1418 Wielkie Oczy 1809082 #> 1419 Łańcut 1810011 #> 1420 Białobrzegi 1810022 #> 1421 Czarna 1810032 #> 1422 Łańcut 1810042 #> 1423 Markowa 1810052 #> 1424 Rakszawa 1810062 #> 1425 Żołynia 1810072 #> 1426 Mielec 1811011 #> 1427 Borowa 1811022 #> 1428 Czermin 1811032 #> 1429 Gawłuszowice 1811042 #> 1430 Mielec 1811052 #> 1431 Padew Narodowa 1811062 #> 1432 Przecław 1811073 #> 1433 Radomyśl Wielki 1811083 #> 1434 Tuszów Narodowy 1811092 #> 1435 Wadowice Górne 1811102 #> 1436 Harasiuki 1812012 #> 1437 Jarocin 1812022 #> 1438 Jeżowe 1812032 #> 1439 Krzeszów 1812042 #> 1440 Nisko 1812053 #> 1441 Rudnik nad Sanem 1812063 #> 1442 Ulanów 1812073 #> 1443 Bircza 1813013 #> 1444 Dubiecko 1813023 #> 1445 Fredropol 1813032 #> 1446 Krasiczyn 1813042 #> 1447 Krzywcza 1813052 #> 1448 Medyka 1813062 #> 1449 Orły 1813072 #> 1450 Przemyśl 1813082 #> 1451 Stubno 1813092 #> 1452 Żurawica 1813102 #> 1453 Przeworsk 1814011 #> 1454 Adamówka 1814022 #> 1455 Gać 1814032 #> 1456 Jawornik Polski 1814043 #> 1457 Kańczuga 1814053 #> 1458 Przeworsk 1814062 #> 1459 Sieniawa 1814073 #> 1460 Tryńcza 1814082 #> 1461 Zarzecze 1814092 #> 1462 Iwierzyce 1815012 #> 1463 Ostrów 1815022 #> 1464 Ropczyce 1815033 #> 1465 Sędziszów Małopolski 1815043 #> 1466 Wielopole Skrzyńskie 1815052 #> 1467 Dynów 1816011 #> 1468 Błażowa 1816023 #> 1469 Boguchwała 1816033 #> 1470 Chmielnik 1816042 #> 1471 Dynów 1816052 #> 1472 Głogów Małopolski 1816063 #> 1473 Hyżne 1816072 #> 1474 Kamień 1816082 #> 1475 Krasne 1816092 #> 1476 Lubenia 1816102 #> 1477 Sokołów Małopolski 1816113 #> 1478 Świlcza 1816122 #> 1479 Trzebownisko 1816132 #> 1480 Tyczyn 1816143 #> 1481 Sanok 1817011 #> 1482 Besko 1817022 #> 1483 Bukowsko 1817032 #> 1484 Komańcza 1817042 #> 1485 Sanok 1817052 #> 1486 Tyrawa Wołoska 1817062 #> 1487 Zagórz 1817073 #> 1488 Zarszyn 1817082 #> 1489 Stalowa Wola 1818011 #> 1490 Bojanów 1818022 #> 1491 Pysznica 1818032 #> 1492 Radomyśl nad Sanem 1818042 #> 1493 Zaklików 1818053 #> 1494 Zaleszany 1818062 #> 1495 Czudec 1819012 #> 1496 Frysztak 1819022 #> 1497 Niebylec 1819032 #> 1498 Strzyżów 1819043 #> 1499 Wiśniowa 1819052 #> 1500 Baranów Sandomierski 1820013 #> 1501 Gorzyce 1820022 #> 1502 Grębów 1820032 #> 1503 Nowa Dęba 1820043 #> 1504 Baligród 1821012 #> 1505 Cisna 1821022 #> 1506 Lesko 1821033 #> 1507 Olszanica 1821042 #> 1508 Solina 1821052 #> 1509 Krosno 1861011 #> 1510 Przemyśl 1862011 #> 1511 Rzeszów 1863011 #> 1512 Tarnobrzeg 1864011 #> 1513 Augustów 2001011 #> 1514 Augustów 2001022 #> 1515 Bargłów Kościelny 2001032 #> 1516 Lipsk 2001043 #> 1517 Nowinka 2001052 #> 1518 Płaska 2001062 #> 1519 Sztabin 2001072 #> 1520 Choroszcz 2002013 #> 1521 Czarna Białostocka 2002023 #> 1522 Dobrzyniewo Duże 2002032 #> 1523 Gródek 2002042 #> 1524 Juchnowiec Kościelny 2002052 #> 1525 Łapy 2002063 #> 1526 Michałowo 2002073 #> 1527 Poświętne 2002082 #> 1528 Supraśl 2002093 #> 1529 Suraż 2002103 #> 1530 Turośń Kościelna 2002112 #> 1531 Tykocin 2002123 #> 1532 Wasilków 2002133 #> 1533 Zabłudów 2002143 #> 1534 Zawady 2002152 #> 1535 Bielsk Podlaski 2003011 #> 1536 Brańsk 2003021 #> 1537 Bielsk Podlaski 2003032 #> 1538 Boćki 2003042 #> 1539 Brańsk 2003052 #> 1540 Orla 2003062 #> 1541 Rudka 2003072 #> 1542 Wyszki 2003082 #> 1543 Grajewo 2004011 #> 1544 Grajewo 2004022 #> 1545 Radziłów 2004032 #> 1546 Rajgród 2004043 #> 1547 Szczuczyn 2004053 #> 1548 Wąsosz 2004062 #> 1549 Hajnówka 2005011 #> 1550 Białowieża 2005022 #> 1551 Czeremcha 2005032 #> 1552 Czyże 2005042 #> 1553 Dubicze Cerkiewne 2005052 #> 1554 Hajnówka 2005062 #> 1555 Kleszczele 2005073 #> 1556 Narew 2005082 #> 1557 Narewka 2005092 #> 1558 Kolno 2006011 #> 1559 Grabowo 2006022 #> 1560 Kolno 2006032 #> 1561 Mały Płock 2006042 #> 1562 Stawiski 2006053 #> 1563 Turośl 2006062 #> 1564 Jedwabne 2007013 #> 1565 Łomża 2007022 #> 1566 Miastkowo 2007032 #> 1567 Nowogród 2007043 #> 1568 Piątnica 2007052 #> 1569 Przytuły 2007062 #> 1570 Śniadowo 2007072 #> 1571 Wizna 2007082 #> 1572 Zbójna 2007092 #> 1573 Goniądz 2008013 #> 1574 Jasionówka 2008022 #> 1575 Jaświły 2008032 #> 1576 Knyszyn 2008043 #> 1577 Krypno 2008052 #> 1578 Mońki 2008063 #> 1579 Trzcianne 2008072 #> 1580 Sejny 2009011 #> 1581 Giby 2009022 #> 1582 Krasnopol 2009032 #> 1583 Puńsk 2009042 #> 1584 Sejny 2009052 #> 1585 Siemiatycze 2010011 #> 1586 Drohiczyn 2010023 #> 1587 Dziadkowice 2010032 #> 1588 Grodzisk 2010042 #> 1589 Mielnik 2010052 #> 1590 Milejczyce 2010062 #> 1591 Nurzec-Stacja 2010072 #> 1592 Perlejewo 2010082 #> 1593 Siemiatycze 2010092 #> 1594 Dąbrowa Białostocka 2011013 #> 1595 Janów 2011022 #> 1596 Korycin 2011032 #> 1597 Krynki 2011043 #> 1598 Kuźnica 2011052 #> 1599 Nowy Dwór 2011062 #> 1600 Sidra 2011072 #> 1601 Sokółka 2011083 #> 1602 Suchowola 2011093 #> 1603 Szudziałowo 2011102 #> 1604 Bakałarzewo 2012012 #> 1605 Filipów 2012022 #> 1606 Jeleniewo 2012032 #> 1607 Przerośl 2012042 #> 1608 Raczki 2012052 #> 1609 Rutka-Tartak 2012062 #> 1610 Suwałki 2012072 #> 1611 Szypliszki 2012082 #> 1612 Wiżajny 2012092 #> 1613 Wysokie Mazowieckie 2013011 #> 1614 Ciechanowiec 2013023 #> 1615 Czyżew 2013033 #> 1616 Klukowo 2013042 #> 1617 Kobylin-Borzymy 2013052 #> 1618 Kulesze Kościelne 2013062 #> 1619 Nowe Piekuty 2013072 #> 1620 Sokoły 2013082 #> 1621 Szepietowo 2013093 #> 1622 Wysokie Mazowieckie 2013102 #> 1623 Zambrów 2014011 #> 1624 Kołaki Kościelne 2014022 #> 1625 Rutki 2014032 #> 1626 Szumowo 2014042 #> 1627 Zambrów 2014052 #> 1628 Białystok 2061011 #> 1629 Łomża 2062011 #> 1630 Suwałki 2063011 #> 1631 Borzytuchom 2201012 #> 1632 Bytów 2201023 #> 1633 Czarna Dąbrówka 2201032 #> 1634 Kołczygłowy 2201042 #> 1635 Lipnica 2201052 #> 1636 Miastko 2201063 #> 1637 Parchowo 2201072 #> 1638 Studzienice 2201082 #> 1639 Trzebielino 2201092 #> 1640 Tuchomie 2201102 #> 1641 Chojnice 2202011 #> 1642 Brusy 2202023 #> 1643 Chojnice 2202032 #> 1644 Czersk 2202043 #> 1645 Konarzyny 2202052 #> 1646 Człuchów 2203011 #> 1647 Czarne 2203023 #> 1648 Człuchów 2203032 #> 1649 Debrzno 2203043 #> 1650 Koczała 2203052 #> 1651 Przechlewo 2203062 #> 1652 Rzeczenica 2203072 #> 1653 Pruszcz Gdański 2204011 #> 1654 Cedry Wielkie 2204022 #> 1655 Kolbudy 2204032 #> 1656 Pruszcz Gdański 2204042 #> 1657 Przywidz 2204052 #> 1658 Pszczółki 2204062 #> 1659 Suchy Dąb 2204072 #> 1660 Trąbki Wielkie 2204082 #> 1661 Chmielno 2205012 #> 1662 Kartuzy 2205023 #> 1663 Przodkowo 2205032 #> 1664 Sierakowice 2205042 #> 1665 Somonino 2205052 #> 1666 Stężyca 2205062 #> 1667 Sulęczyno 2205072 #> 1668 Żukowo 2205083 #> 1669 Kościerzyna 2206011 #> 1670 Dziemiany 2206022 #> 1671 Karsin 2206032 #> 1672 Kościerzyna 2206042 #> 1673 Liniewo 2206052 #> 1674 Lipusz 2206062 #> 1675 Nowa Karczma 2206072 #> 1676 Stara Kiszewa 2206082 #> 1677 Kwidzyn 2207011 #> 1678 Gardeja 2207022 #> 1679 Kwidzyn 2207032 #> 1680 Prabuty 2207043 #> 1681 Ryjewo 2207052 #> 1682 Sadlinki 2207062 #> 1683 Lębork 2208011 #> 1684 Łeba 2208021 #> 1685 Cewice 2208032 #> 1686 Nowa Wieś Lęborska 2208042 #> 1687 Wicko 2208052 #> 1688 Malbork 2209011 #> 1689 Lichnowy 2209032 #> 1690 Malbork 2209042 #> 1691 Miłoradz 2209062 #> 1692 Nowy Staw 2209073 #> 1693 Stare Pole 2209082 #> 1694 Krynica Morska 2210011 #> 1695 Nowy Dwór Gdański 2210023 #> 1696 Ostaszewo 2210032 #> 1697 Stegna 2210042 #> 1698 Sztutowo 2210052 #> 1699 Hel 2211011 #> 1700 Jastarnia 2211023 #> 1701 Puck 2211031 #> 1702 Władysławowo 2211043 #> 1703 Kosakowo 2211052 #> 1704 Krokowa 2211062 #> 1705 Puck 2211072 #> 1706 Ustka 2212011 #> 1707 Damnica 2212022 #> 1708 Dębnica Kaszubska 2212032 #> 1709 Główczyce 2212042 #> 1710 Kępice 2212053 #> 1711 Kobylnica 2212062 #> 1712 Potęgowo 2212072 #> 1713 Redzikowo 2212082 #> 1714 Smołdzino 2212092 #> 1715 Ustka 2212102 #> 1716 Czarna Woda 2213013 #> 1717 Skórcz 2213021 #> 1718 Starogard Gdański 2213031 #> 1719 Bobowo 2213042 #> 1720 Kaliska 2213052 #> 1721 Lubichowo 2213062 #> 1722 Osieczna 2213072 #> 1723 Osiek 2213082 #> 1724 Skarszewy 2213093 #> 1725 Skórcz 2213102 #> 1726 Smętowo Graniczne 2213112 #> 1727 Starogard Gdański 2213122 #> 1728 Zblewo 2213132 #> 1729 Tczew 2214011 #> 1730 Gniew 2214023 #> 1731 Morzeszczyn 2214032 #> 1732 Pelplin 2214043 #> 1733 Subkowy 2214052 #> 1734 Tczew 2214062 #> 1735 Reda 2215011 #> 1736 Rumia 2215021 #> 1737 Wejherowo 2215031 #> 1738 Choczewo 2215042 #> 1739 Gniewino 2215052 #> 1740 Linia 2215062 #> 1741 Luzino 2215072 #> 1742 Łęczyce 2215082 #> 1743 Szemud 2215092 #> 1744 Wejherowo 2215102 #> 1745 Dzierzgoń 2216013 #> 1746 Mikołajki Pomorskie 2216022 #> 1747 Stary Dzierzgoń 2216032 #> 1748 Stary Targ 2216042 #> 1749 Sztum 2216053 #> 1750 Gdańsk 2261011 #> 1751 Gdynia 2262011 #> 1752 Słupsk 2263011 #> 1753 Sopot 2264011 #> 1754 Będzin 2401011 #> 1755 Czeladź 2401021 #> 1756 Wojkowice 2401031 #> 1757 Bobrowniki 2401042 #> 1758 Mierzęcice 2401052 #> 1759 Psary 2401062 #> 1760 Siewierz 2401073 #> 1761 Sławków 2401081 #> 1762 Szczyrk 2402011 #> 1763 Bestwina 2402022 #> 1764 Buczkowice 2402032 #> 1765 Czechowice-Dziedzice 2402043 #> 1766 Jasienica 2402052 #> 1767 Jaworze 2402062 #> 1768 Kozy 2402072 #> 1769 Porąbka 2402082 #> 1770 Wilamowice 2402093 #> 1771 Wilkowice 2402102 #> 1772 Cieszyn 2403011 #> 1773 Ustroń 2403021 #> 1774 Wisła 2403031 #> 1775 Brenna 2403042 #> 1776 Chybie 2403052 #> 1777 Dębowiec 2403062 #> 1778 Goleszów 2403072 #> 1779 Hażlach 2403082 #> 1780 Istebna 2403092 #> 1781 Skoczów 2403103 #> 1782 Strumień 2403113 #> 1783 Zebrzydowice 2403122 #> 1784 Blachownia 2404013 #> 1785 Dąbrowa Zielona 2404022 #> 1786 Janów 2404032 #> 1787 Kamienica Polska 2404042 #> 1788 Kłomnice 2404052 #> 1789 Koniecpol 2404063 #> 1790 Konopiska 2404072 #> 1791 Kruszyna 2404082 #> 1792 Lelów 2404092 #> 1793 Mstów 2404102 #> 1794 Mykanów 2404112 #> 1795 Olsztyn 2404123 #> 1796 Poczesna 2404132 #> 1797 Przyrów 2404143 #> 1798 Rędziny 2404152 #> 1799 Starcza 2404162 #> 1800 Knurów 2405011 #> 1801 Pyskowice 2405021 #> 1802 Gierałtowice 2405032 #> 1803 Pilchowice 2405042 #> 1804 Rudziniec 2405052 #> 1805 Sośnicowice 2405063 #> 1806 Toszek 2405073 #> 1807 Wielowieś 2405082 #> 1808 Kłobuck 2406013 #> 1809 Krzepice 2406023 #> 1810 Lipie 2406032 #> 1811 Miedźno 2406042 #> 1812 Opatów 2406052 #> 1813 Panki 2406062 #> 1814 Popów 2406072 #> 1815 Przystajń 2406082 #> 1816 Wręczyca Wielka 2406092 #> 1817 Lubliniec 2407011 #> 1818 Boronów 2407022 #> 1819 Ciasna 2407032 #> 1820 Herby 2407042 #> 1821 Kochanowice 2407052 #> 1822 Koszęcin 2407062 #> 1823 Pawonków 2407072 #> 1824 Woźniki 2407083 #> 1825 Łaziska Górne 2408011 #> 1826 Mikołów 2408021 #> 1827 Orzesze 2408031 #> 1828 Ornontowice 2408042 #> 1829 Wyry 2408052 #> 1830 Myszków 2409011 #> 1831 Koziegłowy 2409023 #> 1832 Niegowa 2409032 #> 1833 Poraj 2409042 #> 1834 Żarki 2409053 #> 1835 Goczałkowice-Zdrój 2410012 #> 1836 Kobiór 2410022 #> 1837 Miedźna 2410032 #> 1838 Pawłowice 2410042 #> 1839 Pszczyna 2410053 #> 1840 Suszec 2410062 #> 1841 Racibórz 2411011 #> 1842 Kornowac 2411022 #> 1843 Krzanowice 2411033 #> 1844 Krzyżanowice 2411042 #> 1845 Kuźnia Raciborska 2411053 #> 1846 Nędza 2411062 #> 1847 Pietrowice Wielkie 2411072 #> 1848 Rudnik 2411082 #> 1849 Czerwionka-Leszczyny 2412013 #> 1850 Gaszowice 2412022 #> 1851 Jejkowice 2412032 #> 1852 Lyski 2412042 #> 1853 Świerklany 2412052 #> 1854 Kalety 2413011 #> 1855 Miasteczko Śląskie 2413021 #> 1856 Radzionków 2413031 #> 1857 Tarnowskie Góry 2413041 #> 1858 Krupski Młyn 2413052 #> 1859 Ożarowice 2413062 #> 1860 Świerklaniec 2413072 #> 1861 Tworóg 2413082 #> 1862 Zbrosławice 2413092 #> 1863 Bieruń 2414011 #> 1864 Imielin 2414021 #> 1865 Lędziny 2414031 #> 1866 Bojszowy 2414042 #> 1867 Chełm Śląski 2414052 #> 1868 Pszów 2415011 #> 1869 Radlin 2415021 #> 1870 Rydułtowy 2415031 #> 1871 Wodzisław Śląski 2415041 #> 1872 Godów 2415052 #> 1873 Gorzyce 2415062 #> 1874 Lubomia 2415072 #> 1875 Marklowice 2415082 #> 1876 Mszana 2415092 #> 1877 Poręba 2416011 #> 1878 Zawiercie 2416021 #> 1879 Irządze 2416032 #> 1880 Kroczyce 2416042 #> 1881 Łazy 2416053 #> 1882 Ogrodzieniec 2416063 #> 1883 Pilica 2416073 #> 1884 Szczekociny 2416083 #> 1885 Włodowice 2416093 #> 1886 Żarnowiec 2416102 #> 1887 Żywiec 2417011 #> 1888 Czernichów 2417022 #> 1889 Gilowice 2417032 #> 1890 Jeleśnia 2417042 #> 1891 Koszarawa 2417052 #> 1892 Lipowa 2417062 #> 1893 Łękawica 2417072 #> 1894 Łodygowice 2417082 #> 1895 Milówka 2417092 #> 1896 Radziechowy-Wieprz 2417102 #> 1897 Rajcza 2417112 #> 1898 Ślemień 2417122 #> 1899 Świnna 2417132 #> 1900 Ujsoły 2417142 #> 1901 Węgierska Górka 2417152 #> 1902 Bielsko-Biała 2461011 #> 1903 Bytom 2462011 #> 1904 Chorzów 2463011 #> 1905 Częstochowa 2464011 #> 1906 Dąbrowa Górnicza 2465011 #> 1907 Gliwice 2466011 #> 1908 Jastrzębie-Zdrój 2467011 #> 1909 Jaworzno 2468011 #> 1910 Katowice 2469011 #> 1911 Mysłowice 2470011 #> 1912 Piekary Śląskie 2471011 #> 1913 Ruda Śląska 2472011 #> 1914 Rybnik 2473011 #> 1915 Siemianowice Śląskie 2474011 #> 1916 Sosnowiec 2475011 #> 1917 Świętochłowice 2476011 #> 1918 Tychy 2477011 #> 1919 Zabrze 2478011 #> 1920 Żory 2479011 #> 1921 Busko-Zdrój 2601013 #> 1922 Gnojno 2601022 #> 1923 Nowy Korczyn 2601033 #> 1924 Pacanów 2601043 #> 1925 Solec-Zdrój 2601052 #> 1926 Stopnica 2601063 #> 1927 Tuczępy 2601072 #> 1928 Wiślica 2601083 #> 1929 Imielno 2602012 #> 1930 Jędrzejów 2602023 #> 1931 Małogoszcz 2602033 #> 1932 Nagłowice 2602042 #> 1933 Oksa 2602052 #> 1934 Sędziszów 2602063 #> 1935 Słupia 2602072 #> 1936 Sobków 2602082 #> 1937 Wodzisław 2602093 #> 1938 Bejsce 2603012 #> 1939 Czarnocin 2603022 #> 1940 Kazimierza Wielka 2603033 #> 1941 Opatowiec 2603043 #> 1942 Skalbmierz 2603053 #> 1943 Bieliny 2604012 #> 1944 Bodzentyn 2604023 #> 1945 Chęciny 2604033 #> 1946 Chmielnik 2604043 #> 1947 Daleszyce 2604053 #> 1948 Górno 2604062 #> 1949 Łagów 2604073 #> 1950 Łopuszno 2604083 #> 1951 Masłów 2604092 #> 1952 Miedziana Góra 2604102 #> 1953 Mniów 2604112 #> 1954 Morawica 2604123 #> 1955 Nowa Słupia 2604133 #> 1956 Piekoszów 2604143 #> 1957 Pierzchnica 2604153 #> 1958 Raków 2604162 #> 1959 Nowiny 2604172 #> 1960 Strawczyn 2604182 #> 1961 Zagnańsk 2604192 #> 1962 Fałków 2605012 #> 1963 Gowarczów 2605023 #> 1964 Końskie 2605033 #> 1965 Radoszyce 2605043 #> 1966 Ruda Maleniecka 2605052 #> 1967 Słupia Konecka 2605062 #> 1968 Smyków 2605072 #> 1969 Stąporków 2605083 #> 1970 Baćkowice 2606012 #> 1971 Iwaniska 2606023 #> 1972 Lipnik 2606032 #> 1973 Opatów 2606043 #> 1974 Ożarów 2606053 #> 1975 Sadowie 2606062 #> 1976 Tarłów 2606072 #> 1977 Wojciechowice 2606082 #> 1978 Ostrowiec Świętokrzyski 2607011 #> 1979 Bałtów 2607022 #> 1980 Bodzechów 2607032 #> 1981 Ćmielów 2607043 #> 1982 Kunów 2607053 #> 1983 Waśniów 2607062 #> 1984 Działoszyce 2608013 #> 1985 Kije 2608022 #> 1986 Michałów 2608032 #> 1987 Pińczów 2608043 #> 1988 Złota 2608052 #> 1989 Sandomierz 2609011 #> 1990 Dwikozy 2609022 #> 1991 Klimontów 2609033 #> 1992 Koprzywnica 2609043 #> 1993 Łoniów 2609052 #> 1994 Obrazów 2609062 #> 1995 Samborzec 2609072 #> 1996 Wilczyce 2609082 #> 1997 Zawichost 2609093 #> 1998 Skarżysko-Kamienna 2610011 #> 1999 Bliżyn 2610022 #> 2000 Łączna 2610032 #> 2001 Skarżysko Kościelne 2610042 #> 2002 Suchedniów 2610053 #> 2003 Starachowice 2611011 #> 2004 Brody 2611022 #> 2005 Mirzec 2611032 #> 2006 Pawłów 2611042 #> 2007 Wąchock 2611053 #> 2008 Bogoria 2612013 #> 2009 Łubnice 2612022 #> 2010 Oleśnica 2612033 #> 2011 Osiek 2612043 #> 2012 Połaniec 2612053 #> 2013 Rytwiany 2612062 #> 2014 Staszów 2612073 #> 2015 Szydłów 2612083 #> 2016 Kluczewsko 2613012 #> 2017 Krasocin 2613022 #> 2018 Moskorzew 2613032 #> 2019 Radków 2613042 #> 2020 Secemin 2613052 #> 2021 Włoszczowa 2613063 #> 2022 Kielce 2661011 #> 2023 Bartoszyce 2801011 #> 2024 Górowo Iławeckie 2801021 #> 2025 Bartoszyce 2801032 #> 2026 Bisztynek 2801043 #> 2027 Górowo Iławeckie 2801052 #> 2028 Sępopol 2801063 #> 2029 Braniewo 2802011 #> 2030 Braniewo 2802022 #> 2031 Frombork 2802033 #> 2032 Lelkowo 2802042 #> 2033 Pieniężno 2802053 #> 2034 Płoskinia 2802062 #> 2035 Wilczęta 2802072 #> 2036 Działdowo 2803011 #> 2037 Działdowo 2803022 #> 2038 Iłowo-Osada 2803032 #> 2039 Lidzbark 2803043 #> 2040 Płośnica 2803052 #> 2041 Rybno 2803062 #> 2042 Elbląg 2804012 #> 2043 Godkowo 2804022 #> 2044 Gronowo Elbląskie 2804032 #> 2045 Markusy 2804042 #> 2046 Milejewo 2804052 #> 2047 Młynary 2804063 #> 2048 Pasłęk 2804073 #> 2049 Rychliki 2804082 #> 2050 Tolkmicko 2804093 #> 2051 Ełk 2805011 #> 2052 Ełk 2805022 #> 2053 Kalinowo 2805032 #> 2054 Prostki 2805042 #> 2055 Stare Juchy 2805052 #> 2056 Giżycko 2806011 #> 2057 Giżycko 2806042 #> 2058 Kruklanki 2806052 #> 2059 Miłki 2806062 #> 2060 Ryn 2806083 #> 2061 Wydminy 2806102 #> 2062 Iława 2807011 #> 2063 Lubawa 2807021 #> 2064 Iława 2807032 #> 2065 Kisielice 2807043 #> 2066 Lubawa 2807052 #> 2067 Susz 2807063 #> 2068 Zalewo 2807073 #> 2069 Kętrzyn 2808011 #> 2070 Barciany 2808022 #> 2071 Kętrzyn 2808032 #> 2072 Korsze 2808043 #> 2073 Reszel 2808053 #> 2074 Srokowo 2808062 #> 2075 Lidzbark Warmiński 2809011 #> 2076 Kiwity 2809022 #> 2077 Lidzbark Warmiński 2809032 #> 2078 Lubomino 2809042 #> 2079 Orneta 2809053 #> 2080 Mrągowo 2810011 #> 2081 Mikołajki 2810023 #> 2082 Mrągowo 2810032 #> 2083 Piecki 2810042 #> 2084 Sorkwity 2810052 #> 2085 Janowiec Kościelny 2811012 #> 2086 Janowo 2811022 #> 2087 Kozłowo 2811032 #> 2088 Nidzica 2811043 #> 2089 Nowe Miasto Lubawskie 2812011 #> 2090 Biskupiec 2812022 #> 2091 Grodziczno 2812032 #> 2092 Kurzętnik 2812042 #> 2093 Nowe Miasto Lubawskie 2812052 #> 2094 Kowale Oleckie 2813032 #> 2095 Olecko 2813043 #> 2096 Świętajno 2813052 #> 2097 Wieliczki 2813062 #> 2098 Barczewo 2814013 #> 2099 Biskupiec 2814023 #> 2100 Dobre Miasto 2814033 #> 2101 Dywity 2814042 #> 2102 Gietrzwałd 2814052 #> 2103 Jeziorany 2814063 #> 2104 Jonkowo 2814072 #> 2105 Kolno 2814082 #> 2106 Olsztynek 2814093 #> 2107 Purda 2814102 #> 2108 Stawiguda 2814112 #> 2109 Świątki 2814122 #> 2110 Ostróda 2815011 #> 2111 Dąbrówno 2815022 #> 2112 Grunwald 2815032 #> 2113 Łukta 2815042 #> 2114 Małdyty 2815052 #> 2115 Miłakowo 2815063 #> 2116 Miłomłyn 2815073 #> 2117 Morąg 2815083 #> 2118 Ostróda 2815092 #> 2119 Biała Piska 2816013 #> 2120 Orzysz 2816023 #> 2121 Pisz 2816033 #> 2122 Ruciane-Nida 2816043 #> 2123 Szczytno 2817011 #> 2124 Dźwierzuty 2817022 #> 2125 Jedwabno 2817032 #> 2126 Pasym 2817043 #> 2127 Rozogi 2817052 #> 2128 Szczytno 2817062 #> 2129 Świętajno 2817072 #> 2130 Wielbark 2817083 #> 2131 Banie Mazurskie 2818012 #> 2132 Dubeninki 2818022 #> 2133 Gołdap 2818033 #> 2134 Budry 2819012 #> 2135 Pozezdrze 2819022 #> 2136 Węgorzewo 2819033 #> 2137 Elbląg 2861011 #> 2138 Olsztyn 2862011 #> 2139 Chodzież 3001011 #> 2140 Budzyń 3001023 #> 2141 Chodzież 3001032 #> 2142 Margonin 3001043 #> 2143 Szamocin 3001053 #> 2144 Czarnków 3002011 #> 2145 Czarnków 3002022 #> 2146 Drawsko 3002032 #> 2147 Krzyż Wielkopolski 3002043 #> 2148 Lubasz 3002052 #> 2149 Połajewo 3002062 #> 2150 Trzcianka 3002073 #> 2151 Wieleń 3002083 #> 2152 Gniezno 3003011 #> 2153 Czerniejewo 3003023 #> 2154 Gniezno 3003032 #> 2155 Kiszkowo 3003042 #> 2156 Kłecko 3003053 #> 2157 Łubowo 3003062 #> 2158 Mieleszyn 3003072 #> 2159 Niechanowo 3003082 #> 2160 Trzemeszno 3003093 #> 2161 Witkowo 3003103 #> 2162 Borek Wielkopolski 3004013 #> 2163 Gostyń 3004023 #> 2164 Krobia 3004033 #> 2165 Pępowo 3004042 #> 2166 Piaski 3004052 #> 2167 Pogorzela 3004063 #> 2168 Poniec 3004073 #> 2169 Granowo 3005012 #> 2170 Grodzisk Wielkopolski 3005023 #> 2171 Kamieniec 3005032 #> 2172 Rakoniewice 3005043 #> 2173 Wielichowo 3005053 #> 2174 Jaraczewo 3006013 #> 2175 Jarocin 3006023 #> 2176 Kotlin 3006032 #> 2177 Żerków 3006043 #> 2178 Blizanów 3007012 #> 2179 Brzeziny 3007022 #> 2180 Ceków-Kolonia 3007032 #> 2181 Godziesze Wielkie 3007042 #> 2182 Koźminek 3007053 #> 2183 Lisków 3007062 #> 2184 Mycielin 3007072 #> 2185 Opatówek 3007083 #> 2186 Stawiszyn 3007093 #> 2187 Szczytniki 3007102 #> 2188 Żelazków 3007112 #> 2189 Baranów 3008012 #> 2190 Bralin 3008022 #> 2191 Kępno 3008033 #> 2192 Łęka Opatowska 3008042 #> 2193 Perzów 3008052 #> 2194 Rychtal 3008063 #> 2195 Trzcinica 3008072 #> 2196 Koło 3009011 #> 2197 Babiak 3009022 #> 2198 Chodów 3009032 #> 2199 Dąbie 3009043 #> 2200 Grzegorzew 3009052 #> 2201 Kłodawa 3009063 #> 2202 Koło 3009072 #> 2203 Kościelec 3009082 #> 2204 Olszówka 3009092 #> 2205 Osiek Mały 3009102 #> 2206 Przedecz 3009113 #> 2207 Golina 3010013 #> 2208 Grodziec 3010022 #> 2209 Kazimierz Biskupi 3010032 #> 2210 Kleczew 3010043 #> 2211 Kramsk 3010052 #> 2212 Krzymów 3010062 #> 2213 Rychwał 3010073 #> 2214 Rzgów 3010082 #> 2215 Skulsk 3010092 #> 2216 Sompolno 3010103 #> 2217 Stare Miasto 3010112 #> 2218 Ślesin 3010123 #> 2219 Wierzbinek 3010132 #> 2220 Wilczyn 3010142 #> 2221 Kościan 3011011 #> 2222 Czempiń 3011023 #> 2223 Kościan 3011032 #> 2224 Krzywiń 3011043 #> 2225 Śmigiel 3011053 #> 2226 Sulmierzyce 3012011 #> 2227 Kobylin 3012023 #> 2228 Koźmin Wielkopolski 3012033 #> 2229 Krotoszyn 3012043 #> 2230 Rozdrażew 3012052 #> 2231 Zduny 3012063 #> 2232 Krzemieniewo 3013012 #> 2233 Lipno 3013022 #> 2234 Osieczna 3013033 #> 2235 Rydzyna 3013043 #> 2236 Święciechowa 3013052 #> 2237 Wijewo 3013062 #> 2238 Włoszakowice 3013072 #> 2239 Chrzypsko Wielkie 3014012 #> 2240 Kwilcz 3014022 #> 2241 Międzychód 3014033 #> 2242 Sieraków 3014043 #> 2243 Kuślin 3015012 #> 2244 Lwówek 3015023 #> 2245 Miedzichowo 3015032 #> 2246 Nowy Tomyśl 3015043 #> 2247 Opalenica 3015053 #> 2248 Zbąszyń 3015063 #> 2249 Oborniki 3016013 #> 2250 Rogoźno 3016023 #> 2251 Ryczywół 3016032 #> 2252 Ostrów Wielkopolski 3017011 #> 2253 Nowe Skalmierzyce 3017023 #> 2254 Odolanów 3017033 #> 2255 Ostrów Wielkopolski 3017042 #> 2256 Przygodzice 3017052 #> 2257 Raszków 3017063 #> 2258 Sieroszewice 3017072 #> 2259 Sośnie 3017082 #> 2260 Czajków 3018012 #> 2261 Doruchów 3018022 #> 2262 Grabów nad Prosną 3018033 #> 2263 Kobyla Góra 3018042 #> 2264 Kraszewice 3018052 #> 2265 Mikstat 3018063 #> 2266 Ostrzeszów 3018073 #> 2267 Piła 3019011 #> 2268 Białośliwie 3019022 #> 2269 Kaczory 3019033 #> 2270 Łobżenica 3019043 #> 2271 Miasteczko Krajeńskie 3019053 #> 2272 Szydłowo 3019062 #> 2273 Ujście 3019073 #> 2274 Wyrzysk 3019083 #> 2275 Wysoka 3019093 #> 2276 Chocz 3020013 #> 2277 Czermin 3020022 #> 2278 Dobrzyca 3020033 #> 2279 Gizałki 3020042 #> 2280 Gołuchów 3020052 #> 2281 Pleszew 3020063 #> 2282 Luboń 3021011 #> 2283 Puszczykowo 3021021 #> 2284 Buk 3021033 #> 2285 Czerwonak 3021042 #> 2286 Dopiewo 3021052 #> 2287 Kleszczewo 3021062 #> 2288 Komorniki 3021072 #> 2289 Kostrzyn 3021083 #> 2290 Kórnik 3021093 #> 2291 Mosina 3021103 #> 2292 Murowana Goślina 3021113 #> 2293 Pobiedziska 3021123 #> 2294 Rokietnica 3021132 #> 2295 Stęszew 3021143 #> 2296 Suchy Las 3021152 #> 2297 Swarzędz 3021163 #> 2298 Tarnowo Podgórne 3021172 #> 2299 Bojanowo 3022013 #> 2300 Jutrosin 3022023 #> 2301 Miejska Górka 3022033 #> 2302 Pakosław 3022042 #> 2303 Rawicz 3022053 #> 2304 Słupca 3023011 #> 2305 Lądek 3023022 #> 2306 Orchowo 3023032 #> 2307 Ostrowite 3023042 #> 2308 Powidz 3023052 #> 2309 Słupca 3023062 #> 2310 Strzałkowo 3023072 #> 2311 Zagórów 3023083 #> 2312 Obrzycko 3024011 #> 2313 Duszniki 3024022 #> 2314 Kaźmierz 3024032 #> 2315 Obrzycko 3024042 #> 2316 Ostroróg 3024053 #> 2317 Pniewy 3024063 #> 2318 Szamotuły 3024073 #> 2319 Wronki 3024083 #> 2320 Dominowo 3025012 #> 2321 Krzykosy 3025022 #> 2322 Nowe Miasto nad Wartą 3025032 #> 2323 Środa Wielkopolska 3025043 #> 2324 Zaniemyśl 3025052 #> 2325 Brodnica 3026012 #> 2326 Dolsk 3026023 #> 2327 Książ Wielkopolski 3026033 #> 2328 Śrem 3026043 #> 2329 Turek 3027011 #> 2330 Brudzew 3027022 #> 2331 Dobra 3027033 #> 2332 Kawęczyn 3027042 #> 2333 Malanów 3027052 #> 2334 Przykona 3027062 #> 2335 Tuliszków 3027073 #> 2336 Turek 3027082 #> 2337 Władysławów 3027092 #> 2338 Wągrowiec 3028011 #> 2339 Damasławek 3028022 #> 2340 Gołańcz 3028033 #> 2341 Mieścisko 3028043 #> 2342 Skoki 3028053 #> 2343 Wapno 3028062 #> 2344 Wągrowiec 3028072 #> 2345 Przemęt 3029012 #> 2346 Siedlec 3029022 #> 2347 Wolsztyn 3029033 #> 2348 Kołaczkowo 3030012 #> 2349 Miłosław 3030023 #> 2350 Nekla 3030033 #> 2351 Pyzdry 3030043 #> 2352 Września 3030053 #> 2353 Złotów 3031011 #> 2354 Jastrowie 3031023 #> 2355 Krajenka 3031033 #> 2356 Lipka 3031042 #> 2357 Okonek 3031053 #> 2358 Tarnówka 3031062 #> 2359 Zakrzewo 3031072 #> 2360 Złotów 3031082 #> 2361 Kalisz 3061011 #> 2362 Konin 3062011 #> 2363 Leszno 3063011 #> 2364 Poznań 3064011 #> 2365 Białogard 3201011 #> 2366 Białogard 3201022 #> 2367 Karlino 3201033 #> 2368 Tychowo 3201043 #> 2369 Bierzwnik 3202012 #> 2370 Choszczno 3202023 #> 2371 Drawno 3202033 #> 2372 Krzęcin 3202042 #> 2373 Pełczyce 3202053 #> 2374 Recz 3202063 #> 2375 Czaplinek 3203013 #> 2376 Drawsko Pomorskie 3203023 #> 2377 Kalisz Pomorski 3203033 #> 2378 Wierzchowo 3203052 #> 2379 Złocieniec 3203063 #> 2380 Goleniów 3204023 #> 2381 Maszewo 3204033 #> 2382 Nowogard 3204043 #> 2383 Osina 3204052 #> 2384 Przybiernów 3204062 #> 2385 Stepnica 3204073 #> 2386 Brojce 3205012 #> 2387 Gryfice 3205023 #> 2388 Karnice 3205032 #> 2389 Płoty 3205043 #> 2390 Rewal 3205072 #> 2391 Trzebiatów 3205083 #> 2392 Banie 3206012 #> 2393 Cedynia 3206023 #> 2394 Chojna 3206033 #> 2395 Gryfino 3206043 #> 2396 Mieszkowice 3206053 #> 2397 Moryń 3206063 #> 2398 Stare Czarnowo 3206072 #> 2399 Trzcińsko-Zdrój 3206083 #> 2400 Widuchowa 3206092 #> 2401 Dziwnów 3207013 #> 2402 Golczewo 3207023 #> 2403 Kamień Pomorski 3207033 #> 2404 Międzyzdroje 3207043 #> 2405 Świerzno 3207052 #> 2406 Wolin 3207063 #> 2407 Kołobrzeg 3208011 #> 2408 Dygowo 3208022 #> 2409 Gościno 3208033 #> 2410 Kołobrzeg 3208042 #> 2411 Rymań 3208052 #> 2412 Siemyśl 3208062 #> 2413 Ustronie Morskie 3208072 #> 2414 Będzino 3209012 #> 2415 Biesiekierz 3209022 #> 2416 Bobolice 3209033 #> 2417 Manowo 3209042 #> 2418 Mielno 3209053 #> 2419 Polanów 3209063 #> 2420 Sianów 3209073 #> 2421 Świeszyno 3209082 #> 2422 Barlinek 3210013 #> 2423 Boleszkowice 3210022 #> 2424 Dębno 3210033 #> 2425 Myślibórz 3210043 #> 2426 Nowogródek Pomorski 3210052 #> 2427 Dobra (Szczecińska) 3211012 #> 2428 Kołbaskowo 3211022 #> 2429 Nowe Warpno 3211033 #> 2430 Police 3211043 #> 2431 Bielice 3212012 #> 2432 Kozielice 3212022 #> 2433 Lipiany 3212033 #> 2434 Przelewice 3212042 #> 2435 Pyrzyce 3212053 #> 2436 Warnice 3212062 #> 2437 Darłowo 3213011 #> 2438 Sławno 3213021 #> 2439 Darłowo 3213032 #> 2440 Malechowo 3213042 #> 2441 Postomino 3213052 #> 2442 Sławno 3213062 #> 2443 Stargard 3214011 #> 2444 Chociwel 3214023 #> 2445 Dobrzany 3214033 #> 2446 Dolice 3214042 #> 2447 Ińsko 3214053 #> 2448 Kobylanka 3214062 #> 2449 Marianowo 3214082 #> 2450 Stara Dąbrowa 3214092 #> 2451 Stargard 3214102 #> 2452 Suchań 3214113 #> 2453 Szczecinek 3215011 #> 2454 Barwice 3215023 #> 2455 Biały Bór 3215033 #> 2456 Borne Sulinowo 3215043 #> 2457 Grzmiąca 3215052 #> 2458 Szczecinek 3215062 #> 2459 Świdwin 3216011 #> 2460 Brzeżno 3216022 #> 2461 Połczyn-Zdrój 3216033 #> 2462 Rąbino 3216042 #> 2463 Sławoborze 3216052 #> 2464 Świdwin 3216062 #> 2465 Wałcz 3217011 #> 2466 Człopa 3217023 #> 2467 Mirosławiec 3217033 #> 2468 Tuczno 3217043 #> 2469 Wałcz 3217052 #> 2470 Dobra 3218013 #> 2471 Łobez 3218023 #> 2472 Radowo Małe 3218032 #> 2473 Resko 3218043 #> 2474 Węgorzyno 3218053 #> 2475 Koszalin 3261011 #> 2476 Szczecin 3262011 #> 2477 Świnoujście 3263011"},{"path":"https://kadyb.github.io/rgugik/reference/county_names.html","id":null,"dir":"Reference","previous_headings":"","what":"Counties in Poland — county_names","title":"Counties in Poland — county_names","text":"data frame contains names counties, identifiers (TERYT, 4 characters) availability building models LOD2 standard (logical value).","code":""},{"path":"https://kadyb.github.io/rgugik/reference/county_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Counties in Poland — county_names","text":"","code":"county_names"},{"path":"https://kadyb.github.io/rgugik/reference/county_names.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Counties in Poland — county_names","text":"object class data.frame 380 rows 3 columns.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/county_names.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Counties in Poland — county_names","text":"","code":"county_names #> NAME TERYT LOD2 #> 1 aleksandrowski 0401 TRUE #> 2 augustowski 2001 TRUE #> 3 bartoszycki 2801 TRUE #> 4 bełchatowski 1001 FALSE #> 5 będziński 2401 TRUE #> 6 bialski 0601 TRUE #> 7 Biała Podlaska 0661 TRUE #> 8 białobrzeski 1401 TRUE #> 9 białogardzki 3201 FALSE #> 10 białostocki 2002 TRUE #> 11 Białystok 2061 TRUE #> 12 bielski 2003 TRUE #> 13 bielski 2402 TRUE #> 14 Bielsko-Biała 2461 TRUE #> 15 bieruńsko-lędziński 2414 TRUE #> 16 bieszczadzki 1801 TRUE #> 17 biłgorajski 0602 TRUE #> 18 bocheński 1201 TRUE #> 19 bolesławiecki 0201 FALSE #> 20 braniewski 2802 TRUE #> 21 brodnicki 0402 TRUE #> 22 brzeski 1202 TRUE #> 23 brzeski 1601 TRUE #> 24 brzeziński 1021 FALSE #> 25 brzozowski 1802 TRUE #> 26 buski 2601 TRUE #> 27 bydgoski 0403 TRUE #> 28 Bydgoszcz 0461 TRUE #> 29 Bytom 2462 TRUE #> 30 bytowski 2201 FALSE #> 31 Chełm 0662 TRUE #> 32 chełmiński 0404 TRUE #> 33 chełmski 0603 TRUE #> 34 chodzieski 3001 FALSE #> 35 chojnicki 2202 FALSE #> 36 Chorzów 2463 TRUE #> 37 choszczeński 3202 FALSE #> 38 chrzanowski 1203 TRUE #> 39 ciechanowski 1402 TRUE #> 40 cieszyński 2403 TRUE #> 41 czarnkowsko-trzcianecki 3002 FALSE #> 42 Częstochowa 2464 TRUE #> 43 częstochowski 2404 TRUE #> 44 człuchowski 2203 FALSE #> 45 Dąbrowa Górnicza 2465 TRUE #> 46 dąbrowski 1204 TRUE #> 47 dębicki 1803 TRUE #> 48 drawski 3203 FALSE #> 49 działdowski 2803 TRUE #> 50 dzierżoniowski 0202 FALSE #> 51 Elbląg 2861 TRUE #> 52 elbląski 2804 TRUE #> 53 ełcki 2805 TRUE #> 54 garwoliński 1403 TRUE #> 55 Gdańsk 2261 FALSE #> 56 gdański 2204 FALSE #> 57 Gdynia 2262 FALSE #> 58 giżycki 2806 TRUE #> 59 Gliwice 2466 TRUE #> 60 gliwicki 2405 TRUE #> 61 głogowski 0203 FALSE #> 62 głubczycki 1602 TRUE #> 63 gnieźnieński 3003 FALSE #> 64 goleniowski 3204 FALSE #> 65 golubsko-dobrzyński 0405 TRUE #> 66 gołdapski 2818 TRUE #> 67 gorlicki 1205 TRUE #> 68 gorzowski 0801 FALSE #> 69 Gorzów Wielkopolski 0861 FALSE #> 70 gostyniński 1404 TRUE #> 71 gostyński 3004 FALSE #> 72 górowski 0204 FALSE #> 73 grajewski 2004 TRUE #> 74 grodziski 1405 TRUE #> 75 grodziski 3005 FALSE #> 76 grójecki 1406 TRUE #> 77 Grudziądz 0462 TRUE #> 78 grudziądzki 0406 TRUE #> 79 gryficki 3205 FALSE #> 80 gryfiński 3206 FALSE #> 81 hajnowski 2005 TRUE #> 82 hrubieszowski 0604 TRUE #> 83 iławski 2807 TRUE #> 84 inowrocławski 0407 TRUE #> 85 janowski 0605 TRUE #> 86 jarociński 3006 FALSE #> 87 jarosławski 1804 TRUE #> 88 jasielski 1805 TRUE #> 89 Jastrzębie-Zdrój 2467 TRUE #> 90 jaworski 0205 FALSE #> 91 Jaworzno 2468 TRUE #> 92 Jelenia Góra 0261 FALSE #> 93 jeleniogórski 0206 FALSE #> 94 jędrzejowski 2602 TRUE #> 95 kaliski 3007 FALSE #> 96 Kalisz 3061 FALSE #> 97 kamiennogórski 0207 FALSE #> 98 kamieński 3207 FALSE #> 99 kartuski 2205 FALSE #> 100 Katowice 2469 TRUE #> 101 kazimierski 2603 TRUE #> 102 kędzierzyńsko-kozielski 1603 TRUE #> 103 kępiński 3008 FALSE #> 104 kętrzyński 2808 TRUE #> 105 Kielce 2661 TRUE #> 106 kielecki 2604 TRUE #> 107 kluczborski 1604 TRUE #> 108 kłobucki 2406 TRUE #> 109 kłodzki 0208 FALSE #> 110 kolbuszowski 1806 TRUE #> 111 kolneński 2006 TRUE #> 112 kolski 3009 FALSE #> 113 kołobrzeski 3208 FALSE #> 114 konecki 2605 TRUE #> 115 Konin 3062 FALSE #> 116 koniński 3010 FALSE #> 117 Koszalin 3261 FALSE #> 118 koszaliński 3209 FALSE #> 119 kościański 3011 FALSE #> 120 kościerski 2206 FALSE #> 121 kozienicki 1407 TRUE #> 122 krakowski 1206 TRUE #> 123 Kraków 1261 TRUE #> 124 krapkowicki 1605 TRUE #> 125 krasnostawski 0606 TRUE #> 126 kraśnicki 0607 TRUE #> 127 Krosno 1861 TRUE #> 128 krośnieński 0802 FALSE #> 129 krośnieński 1807 TRUE #> 130 krotoszyński 3012 FALSE #> 131 kutnowski 1002 FALSE #> 132 kwidzyński 2207 FALSE #> 133 legionowski 1408 TRUE #> 134 Legnica 0262 FALSE #> 135 legnicki 0209 FALSE #> 136 leski 1821 TRUE #> 137 leszczyński 3013 FALSE #> 138 Leszno 3063 FALSE #> 139 leżajski 1808 TRUE #> 140 lęborski 2208 FALSE #> 141 lidzbarski 2809 TRUE #> 142 limanowski 1207 TRUE #> 143 lipnowski 0408 TRUE #> 144 lipski 1409 TRUE #> 145 lubaczowski 1809 TRUE #> 146 lubański 0210 FALSE #> 147 lubartowski 0608 TRUE #> 148 lubelski 0609 TRUE #> 149 lubiński 0211 FALSE #> 150 Lublin 0663 TRUE #> 151 lubliniecki 2407 TRUE #> 152 lwówecki 0212 FALSE #> 153 łańcucki 1810 TRUE #> 154 łaski 1003 FALSE #> 155 łęczycki 1004 FALSE #> 156 łęczyński 0610 TRUE #> 157 łobeski 3218 FALSE #> 158 Łomża 2062 TRUE #> 159 łomżyński 2007 TRUE #> 160 łosicki 1410 TRUE #> 161 łowicki 1005 FALSE #> 162 łódzki wschodni 1006 FALSE #> 163 Łódź 1061 FALSE #> 164 łukowski 0611 TRUE #> 165 makowski 1411 TRUE #> 166 malborski 2209 FALSE #> 167 miechowski 1208 TRUE #> 168 mielecki 1811 TRUE #> 169 międzychodzki 3014 FALSE #> 170 międzyrzecki 0803 FALSE #> 171 mikołowski 2408 TRUE #> 172 milicki 0213 FALSE #> 173 miński 1412 TRUE #> 174 mławski 1413 TRUE #> 175 mogileński 0409 TRUE #> 176 moniecki 2008 TRUE #> 177 mrągowski 2810 TRUE #> 178 Mysłowice 2470 TRUE #> 179 myszkowski 2409 TRUE #> 180 myślenicki 1209 TRUE #> 181 myśliborski 3210 FALSE #> 182 nakielski 0410 TRUE #> 183 namysłowski 1606 TRUE #> 184 nidzicki 2811 TRUE #> 185 niżański 1812 TRUE #> 186 nowodworski 1414 TRUE #> 187 nowodworski 2210 FALSE #> 188 nowomiejski 2812 TRUE #> 189 nowosądecki 1210 TRUE #> 190 nowosolski 0804 FALSE #> 191 nowotarski 1211 TRUE #> 192 nowotomyski 3015 FALSE #> 193 Nowy Sącz 1262 TRUE #> 194 nyski 1607 TRUE #> 195 obornicki 3016 FALSE #> 196 olecki 2813 TRUE #> 197 oleski 1608 TRUE #> 198 oleśnicki 0214 FALSE #> 199 olkuski 1212 TRUE #> 200 Olsztyn 2862 TRUE #> 201 olsztyński 2814 TRUE #> 202 oławski 0215 FALSE #> 203 opatowski 2606 TRUE #> 204 opoczyński 1007 FALSE #> 205 Opole 1661 TRUE #> 206 opolski 0612 TRUE #> 207 opolski 1609 TRUE #> 208 ostrołęcki 1415 TRUE #> 209 Ostrołęka 1461 TRUE #> 210 ostrowiecki 2607 TRUE #> 211 ostrowski 1416 TRUE #> 212 ostrowski 3017 FALSE #> 213 ostródzki 2815 TRUE #> 214 ostrzeszowski 3018 FALSE #> 215 oświęcimski 1213 TRUE #> 216 otwocki 1417 TRUE #> 217 pabianicki 1008 FALSE #> 218 pajęczański 1009 FALSE #> 219 parczewski 0613 TRUE #> 220 piaseczyński 1418 TRUE #> 221 Piekary Śląskie 2471 TRUE #> 222 pilski 3019 FALSE #> 223 pińczowski 2608 TRUE #> 224 piotrkowski 1010 FALSE #> 225 Piotrków Trybunalski 1062 FALSE #> 226 piski 2816 TRUE #> 227 pleszewski 3020 FALSE #> 228 Płock 1462 TRUE #> 229 płocki 1419 TRUE #> 230 płoński 1420 TRUE #> 231 poddębicki 1011 FALSE #> 232 policki 3211 FALSE #> 233 polkowicki 0216 FALSE #> 234 Poznań 3064 FALSE #> 235 poznański 3021 FALSE #> 236 proszowicki 1214 TRUE #> 237 prudnicki 1610 TRUE #> 238 pruszkowski 1421 TRUE #> 239 przasnyski 1422 TRUE #> 240 przemyski 1813 TRUE #> 241 Przemyśl 1862 TRUE #> 242 przeworski 1814 TRUE #> 243 przysuski 1423 TRUE #> 244 pszczyński 2410 TRUE #> 245 pucki 2211 FALSE #> 246 puławski 0614 TRUE #> 247 pułtuski 1424 TRUE #> 248 pyrzycki 3212 FALSE #> 249 raciborski 2411 TRUE #> 250 Radom 1463 TRUE #> 251 radomski 1425 TRUE #> 252 radomszczański 1012 FALSE #> 253 radziejowski 0411 TRUE #> 254 radzyński 0615 TRUE #> 255 rawicki 3022 FALSE #> 256 rawski 1013 FALSE #> 257 ropczycko-sędziszowski 1815 TRUE #> 258 Ruda Śląska 2472 TRUE #> 259 rybnicki 2412 TRUE #> 260 Rybnik 2473 TRUE #> 261 rycki 0616 TRUE #> 262 rypiński 0412 TRUE #> 263 rzeszowski 1816 TRUE #> 264 Rzeszów 1863 TRUE #> 265 sandomierski 2609 TRUE #> 266 sanocki 1817 TRUE #> 267 sejneński 2009 TRUE #> 268 sępoleński 0413 TRUE #> 269 Siedlce 1464 TRUE #> 270 siedlecki 1426 TRUE #> 271 Siemianowice Śląskie 2474 TRUE #> 272 siemiatycki 2010 TRUE #> 273 sieradzki 1014 FALSE #> 274 sierpecki 1427 TRUE #> 275 skarżyski 2610 TRUE #> 276 Skierniewice 1063 FALSE #> 277 skierniewicki 1015 FALSE #> 278 sławieński 3213 FALSE #> 279 słubicki 0805 FALSE #> 280 słupecki 3023 FALSE #> 281 Słupsk 2263 FALSE #> 282 słupski 2212 FALSE #> 283 sochaczewski 1428 TRUE #> 284 sokołowski 1429 TRUE #> 285 sokólski 2011 TRUE #> 286 Sopot 2264 FALSE #> 287 Sosnowiec 2475 TRUE #> 288 stalowowolski 1818 TRUE #> 289 starachowicki 2611 TRUE #> 290 stargardzki 3214 FALSE #> 291 starogardzki 2213 FALSE #> 292 staszowski 2612 TRUE #> 293 strzelecki 1611 TRUE #> 294 strzelecko-drezdenecki 0806 FALSE #> 295 strzeliński 0217 FALSE #> 296 strzyżowski 1819 TRUE #> 297 sulęciński 0807 FALSE #> 298 suski 1215 TRUE #> 299 suwalski 2012 TRUE #> 300 Suwałki 2063 TRUE #> 301 szamotulski 3024 FALSE #> 302 Szczecin 3262 FALSE #> 303 szczecinecki 3215 FALSE #> 304 szczycieński 2817 TRUE #> 305 sztumski 2216 FALSE #> 306 szydłowiecki 1430 TRUE #> 307 średzki 0218 FALSE #> 308 średzki 3025 FALSE #> 309 śremski 3026 FALSE #> 310 świdnicki 0219 FALSE #> 311 świdnicki 0617 TRUE #> 312 świdwiński 3216 FALSE #> 313 świebodziński 0808 FALSE #> 314 świecki 0414 TRUE #> 315 Świętochłowice 2476 TRUE #> 316 Świnoujście 3263 FALSE #> 317 Tarnobrzeg 1864 TRUE #> 318 tarnobrzeski 1820 TRUE #> 319 tarnogórski 2413 TRUE #> 320 tarnowski 1216 TRUE #> 321 Tarnów 1263 TRUE #> 322 tatrzański 1217 TRUE #> 323 tczewski 2214 FALSE #> 324 tomaszowski 0618 TRUE #> 325 tomaszowski 1016 FALSE #> 326 Toruń 0463 TRUE #> 327 toruński 0415 TRUE #> 328 trzebnicki 0220 FALSE #> 329 tucholski 0416 TRUE #> 330 turecki 3027 FALSE #> 331 Tychy 2477 TRUE #> 332 wadowicki 1218 TRUE #> 333 Wałbrzych 0265 FALSE #> 334 wałbrzyski 0221 FALSE #> 335 wałecki 3217 FALSE #> 336 Warszawa 1465 TRUE #> 337 warszawski zachodni 1432 TRUE #> 338 wąbrzeski 0417 TRUE #> 339 wągrowiecki 3028 FALSE #> 340 wejherowski 2215 FALSE #> 341 węgorzewski 2819 TRUE #> 342 węgrowski 1433 TRUE #> 343 wielicki 1219 TRUE #> 344 wieluński 1017 FALSE #> 345 wieruszowski 1018 FALSE #> 346 Włocławek 0464 TRUE #> 347 włocławski 0418 TRUE #> 348 włodawski 0619 TRUE #> 349 włoszczowski 2613 TRUE #> 350 wodzisławski 2415 TRUE #> 351 wolsztyński 3029 FALSE #> 352 wołomiński 1434 TRUE #> 353 wołowski 0222 FALSE #> 354 Wrocław 0264 FALSE #> 355 wrocławski 0223 FALSE #> 356 wrzesiński 3030 FALSE #> 357 wschowski 0812 FALSE #> 358 wysokomazowiecki 2013 TRUE #> 359 wyszkowski 1435 TRUE #> 360 Zabrze 2478 TRUE #> 361 zambrowski 2014 TRUE #> 362 zamojski 0620 TRUE #> 363 Zamość 0664 TRUE #> 364 zawierciański 2416 TRUE #> 365 ząbkowicki 0224 FALSE #> 366 zduńskowolski 1019 FALSE #> 367 zgierski 1020 FALSE #> 368 zgorzelecki 0225 FALSE #> 369 Zielona Góra 0862 FALSE #> 370 zielonogórski 0809 FALSE #> 371 złotoryjski 0226 FALSE #> 372 złotowski 3031 FALSE #> 373 zwoleński 1436 TRUE #> 374 żagański 0810 FALSE #> 375 żarski 0811 FALSE #> 376 żniński 0419 TRUE #> 377 Żory 2479 TRUE #> 378 żuromiński 1437 TRUE #> 379 żyrardowski 1438 TRUE #> 380 żywiecki 2417 TRUE"},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download Register of Towns, Streets and Addresses for communes — emuia_download","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"Download Register Towns, Streets Addresses communes","code":""},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"","code":"emuia_download(commune = NULL, TERYT = NULL, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"commune commune name Polish. Check commune_names() function. TERYT county ID (7 characters) outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"register SHP format","code":""},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"","code":"if (FALSE) { # \\dontrun{ emuia_download(commune = \"Kotla\") # 38 KB emuia_download(TERYT = c(\"0203042\", \"2412032\")) # 75 KB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert addresses and objects to geographic coordinates — geocodePL_get","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"Convert addresses objects geographic coordinates","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"","code":"geocodePL_get( address = NULL, road = NULL, rail_crossing = NULL, geoname = NULL )"},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"address place without street house number road road number without mileage rail_crossing rail crossing identifier (11 characters including 2 spaces, format: \"XXX XXX XXX\") geoname name geographical object State Register Geographical Names (function geonames_download())","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"sf data.frame (EPSG: 2180) metadata","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"","code":"if (FALSE) { # \\dontrun{ geocodePL_get(address = \"Marki\") # place geocodePL_get(address = \"Marki, Andersa\") # place and street geocodePL_get(address = \"Marki, Andersa 1\") # place, street and house number geocodePL_get(address = \"Królewskie Brzeziny 13\") # place and house number geocodePL_get(road = \"632\") # road number geocodePL_get(road = \"632 55\") # road number and mileage geocodePL_get(rail_crossing = \"001 018 478\") geocodePL_get(geoname = \"Las Mierzei\") # physiographic object } # }"},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download General Geographic Databases for entire voivodeships — geodb_download","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"Download General Geographic Databases entire voivodeships","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"","code":"geodb_download(voivodeships, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"voivodeships selected voivodeships Polish English, TERC (object voivodeship_names can helpful) outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"database Geography Markup Language format (.GML), content detail level corresponds general geographic map scale 1:250000","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"description topographical general geographical databases, technical standards making maps (Polish): https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20210001412/O/D20211412.pdf brief description categories layer names (English Polish): https://kadyb.github.io/rgugik/articles/articles/spatialdb_description.html","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"","code":"if (FALSE) { # \\dontrun{ geodb_download(c(\"opolskie\", \"lubuskie\")) # 12.7 MB geodb_download(c(\"Opole\", \"Lubusz\")) # 12.7 MB geodb_download(c(\"16\", \"08\")) # 12.7 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download State Register of Geographical Names — geonames_download","title":"Download State Register of Geographical Names — geonames_download","text":"Download State Register Geographical Names","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download State Register of Geographical Names — geonames_download","text":"","code":"geonames_download(type, format = \"SHP\", outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download State Register of Geographical Names — geonames_download","text":"type names places (\"place\") /physiographic objects (\"object\") format data format (\"GML\", \"SHP\" (default) /\"XLSX\") outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download State Register of Geographical Names — geonames_download","text":"selected data type specified format","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Download State Register of Geographical Names — geonames_download","text":"http://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20150000219/O/D20150219.pdf","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download State Register of Geographical Names — geonames_download","text":"","code":"if (FALSE) { # \\dontrun{ geonames_download(type = \"place\", format = \"SHP\") # 18.2 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"Get minimum maximum elevation given polygon","code":""},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"","code":"minmaxDTM_get(polygon)"},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"polygon polygon layer one object (area less 10 ha), larger polygon area, lower DTM resolution, input coordinate system must EPSG:2180","code":""},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"data frame vector points min/max terrain elevation (EPSG:2180)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) minmax = minmaxDTM_get(polygon) } # }"},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download 3D models of buildings for counties — models3D_download","title":"Download 3D models of buildings for counties — models3D_download","text":"Download 3D models buildings counties","code":""},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download 3D models of buildings for counties — models3D_download","text":"","code":"models3D_download( county = NULL, TERYT = NULL, LOD = \"LOD1\", outdir = \".\", unzip = TRUE, ... )"},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download 3D models of buildings for counties — models3D_download","text":"county county name Polish. Check county_names() function. TERYT county ID (4 characters) LOD level detail building models (\"LOD1\" \"LOD2\"). \"LOD1\" default. \"LOD2\" available ten voivodeships (TERC: \"04\", \"06\", \"12\", \"14\", \"16\", \"18\", \"20\", \"24\", \"26\", \"28\"). Check voivodeship_names() function. outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download 3D models of buildings for counties — models3D_download","text":"models buildings Geography Markup Language format (.GML)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download 3D models of buildings for counties — models3D_download","text":"","code":"if (FALSE) { # \\dontrun{ models3D_download(TERYT = c(\"2476\", \"2264\")) # 3.6 MB models3D_download(county = \"sejneński\", LOD = \"LOD2\") # 7.0 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":null,"dir":"Reference","previous_headings":"","what":"Get metadata and links to available orthoimages — ortho_request","title":"Get metadata and links to available orthoimages — ortho_request","text":"Get metadata links available orthoimages","code":""},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get metadata and links to available orthoimages — ortho_request","text":"","code":"ortho_request(x) orto_request(x)"},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get metadata and links to available orthoimages — ortho_request","text":"x sf, sfc SpatVector object one features (requests based bounding boxes provided features)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get metadata and links to available orthoimages — ortho_request","text":"data frame metadata links orthoimages","code":""},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get metadata and links to available orthoimages — ortho_request","text":"server can return maximum 2000 records single query. area interest exceeds limit, can generate grid smaller polygons (sf::st_make_grid()) regular grid points (sf::st_sample()).","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get metadata and links to available orthoimages — ortho_request","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) req_df = ortho_request(polygon) # simple filtering by attributes req_df = req_df[req_df$composition == \"CIR\", ] req_df = req_df[req_df$resolution <= 0.25 & req_df$year >= 2016, ] } # }"},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the geometry of cadastral parcels — parcel_get","title":"Get the geometry of cadastral parcels — parcel_get","text":"Get geometry cadastral parcels","code":""},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the geometry of cadastral parcels — parcel_get","text":"","code":"parcel_get(TERYT = NULL, X = NULL, Y = NULL)"},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the geometry of cadastral parcels — parcel_get","text":"TERYT parcel ID (18 characters, e.g. \"141201_1.0001.6509\") X longitude (EPSG: 2180) Y latitude (EPSG: 2180)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the geometry of cadastral parcels — parcel_get","text":"simple feature geometry (case TERYT) data frame simple feature geometry TERYT (case coordinates)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the geometry of cadastral parcels — parcel_get","text":"","code":"if (FALSE) { # \\dontrun{ parcel = parcel_get(TERYT = \"141201_1.0001.6509\") parcel = parcel_get(X = 313380.5, Y = 460166.4) } # }"},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"Download digital terrain models voivodeships (100 m resolution)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"","code":"pointDTM100_download(voivodeships, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"voivodeships selected voivodeships Polish English, TERC (function voivodeship_names() can helpful) outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"text files X, Y, Z columns (EPSG:2180)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"","code":"if (FALSE) { # \\dontrun{ pointDTM100_download(c(\"opolskie\", \"świętokrzyskie\")) # 8.5 MB pointDTM100_download(c(\"Opole\", \"Swietokrzyskie\")) # 8.5 MB pointDTM100_download(c(\"16\", \"26\")) # 8.5 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Get terrain elevation for a given polygon — pointDTM_get","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"Get terrain elevation given polygon","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"","code":"pointDTM_get(polygon, distance = 1, print_iter = TRUE)"},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"polygon polygon layer one object (area limited 20 ha * distance parameter), input coordinate system must EPSG:2180 distance distance points meters (must integer greater 1) print_iter print current iteration (logical, TRUE default)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"data frame vector points terrain elevation (EPSG:2180, Vertical Reference System:PL-KRON86-NH)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) DTM = pointDTM_get(polygon, distance = 2) } # }"},{"path":"https://kadyb.github.io/rgugik/reference/rgugik-package.html","id":null,"dir":"Reference","previous_headings":"","what":"rgugik: Search and Retrieve Spatial Data from 'GUGiK' — rgugik-package","title":"rgugik: Search and Retrieve Spatial Data from 'GUGiK' — rgugik-package","text":"Automatic open data acquisition resources Polish Head Office Geodesy Cartography ('Główny Urząd Geodezji Kartografii') (https://www.gov.pl/web/gugik). Available datasets include various types numeric, raster vector data, orthophotomaps, digital elevation models (digital terrain models, digital surface model, point clouds), state register borders, spatial databases, geometries cadastral parcels, 3D models buildings, . also possible geocode addresses objects using geocodePL_get() function.","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/reference/rgugik-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rgugik: Search and Retrieve Spatial Data from 'GUGiK' — rgugik-package","text":"Maintainer: Krzysztof Dyba adres7@gmail.com (ORCID) Authors: Jakub Nowosad nowosad.jakub@gmail.com (ORCID) contributors: Maciej Beręsewicz maciej.beresewicz@ue.poznan.pl (ORCID) [contributor] GUGiK (source data) [contributor]","code":""},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download requested tiles — tile_download","title":"Download requested tiles — tile_download","text":"Download requested tiles","code":""},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download requested tiles — tile_download","text":"","code":"tile_download(df_req, outdir = \".\", unzip = TRUE, print_iter = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download requested tiles — tile_download","text":"df_req data frame obtained using ortho_request() DEM_request() functions outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed; suitable certain elevation data print_iter print current iteration (logical, TRUE default) ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download requested tiles — tile_download","text":"georeferenced tiles properties (resolution, year, etc.) specified input data frame","code":""},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download requested tiles — tile_download","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) options(timeout = 600) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) req_df = ortho_request(polygon) tile_download(req_df[1, ]) # download the first image only req_df = DEM_request(polygon) tile_download(req_df[1, ]) # download the first DEM only } # }"},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download Topographic Databases for counties — topodb_download","title":"Download Topographic Databases for counties — topodb_download","text":"Download Topographic Databases counties","code":""},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download Topographic Databases for counties — topodb_download","text":"","code":"topodb_download(county = NULL, TERYT = NULL, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download Topographic Databases for counties — topodb_download","text":"county county name Polish. Check county_names() function. TERYT county ID (4 characters) outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download Topographic Databases for counties — topodb_download","text":"database Geography Markup Language format (.GML), content detail level corresponds topographic map scale 1:10000","code":""},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Download Topographic Databases for counties — topodb_download","text":"description topographical general geographical databases, technical standards making maps (Polish): https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20210001412/O/D20211412.pdf brief description categories layer names (English Polish): https://kadyb.github.io/rgugik/articles/articles/spatialdb_description.html","code":""},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download Topographic Databases for counties — topodb_download","text":"","code":"if (FALSE) { # \\dontrun{ topodb_download(county = \"Świętochłowice\") # 2.4 MB topodb_download(TERYT = c(\"2476\", \"2264\")) # 4.8 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/voivodeship_names.html","id":null,"dir":"Reference","previous_headings":"","what":"Voivodeships in Poland — voivodeship_names","title":"Voivodeships in Poland — voivodeship_names","text":"data frame contains Polish English names voivodeships, identifiers (TERC, 2 characters).","code":""},{"path":"https://kadyb.github.io/rgugik/reference/voivodeship_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Voivodeships in Poland — voivodeship_names","text":"","code":"voivodeship_names"},{"path":"https://kadyb.github.io/rgugik/reference/voivodeship_names.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Voivodeships in Poland — voivodeship_names","text":"object class data.frame 16 rows 3 columns.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/voivodeship_names.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Voivodeships in Poland — voivodeship_names","text":"","code":"voivodeship_names #> NAME_PL NAME_EN TERC #> 1 dolnośląskie Lower Silesia 02 #> 2 kujawsko-pomorskie Kuyavian-Pomeranian 04 #> 3 lubelskie Lublin 06 #> 4 lubuskie Lubusz 08 #> 5 łódzkie Lodz 10 #> 6 małopolskie Lesser Poland 12 #> 7 mazowieckie Mazovian 14 #> 8 opolskie Opole 16 #> 9 podkarpackie Subcarpathian 18 #> 10 podlaskie Podlaskie 20 #> 11 pomorskie Pomeranian 22 #> 12 śląskie Silesian 24 #> 13 świętokrzyskie Swietokrzyskie 26 #> 14 warmińsko-mazurskie Warmian-Masurian 28 #> 15 wielkopolskie Greater Poland 30 #> 16 zachodniopomorskie West Pomeranian 32"},{"path":"https://kadyb.github.io/rgugik/news/index.html","id":"rgugik-041","dir":"Changelog","previous_headings":"","what":"rgugik 0.4.1","title":"rgugik 0.4.1","text":"CRAN release: 2024-05-11 list communes updated (02 January 2024). Update product names DEM_request().","code":""},{"path":"https://kadyb.github.io/rgugik/news/index.html","id":"rgugik-040","dir":"Changelog","previous_headings":"","what":"rgugik 0.4.0","title":"rgugik 0.4.0","text":"CRAN release: 2023-02-27 ortho_request() DEM_request() functions updated new API version. Now can download latest orthophotomaps DEM products. Due lack information SHA database, checkSHA argument tile_download() function deprecated.","code":""}] +[{"path":"https://kadyb.github.io/rgugik/CODE_OF_CONDUCT.html","id":null,"dir":"","previous_headings":"","what":"Contributor Code of Conduct","title":"Contributor Code of Conduct","text":"contributors maintainers project, pledge respect people contribute reporting issues, posting feature requests, updating documentation, submitting pull requests patches, activities. committed making participation project harassment-free experience everyone, regardless level experience, gender, gender identity expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, religion. Examples unacceptable behavior participants include use sexual language imagery, derogatory comments personal attacks, trolling, public private harassment, insults, unprofessional conduct. Project maintainers right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct. Project maintainers follow Code Conduct may removed project team. Instances abusive, harassing, otherwise unacceptable behavior may reported opening issue contacting one project maintainers. Code Conduct adapted Contributor Covenant, version 1.0.0, available https://www.contributor-covenant.org/version/1/0/0/code--conduct.html","code":""},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"CONTRIBUTING","title":"CONTRIBUTING","text":"matter current skills, ’s possible contribute rgugik package. appreciate contribution matter amount.","code":""},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":"bugs","dir":"","previous_headings":"","what":"Bugs","title":"CONTRIBUTING","text":"’ve found bug, please create minimal reproducible example using reprex package first. Spend time trying make minimal possible, facilitate task speed entire process. Next, submit issue Issues page.","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":"fixing-typos","dir":"","previous_headings":"Contributions","what":"Fixing typos","title":"CONTRIBUTING","text":"can fix typos, spelling mistakes, grammatical errors documentation. use roxygen2, documentation generated using .R files, editing .Rd files directly.","code":""},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":"greater-changes","dir":"","previous_headings":"Contributions","what":"Greater changes","title":"CONTRIBUTING","text":"want make greater change, ’s good idea file issue first make sure someone team agrees ’s needed. don’t want spend bunch time something don’t think suitable idea. accepted, can follow pull request process: Fork repo GitHub account. Clone version machine, e.g., git clone https://github.com/kadyb/rgugik.git. Make sure track progress upstream (.e., version rgugik kadyb/rgugik) git remote add upstream https://github.com/kadyb/rgugik.git. making changes, make sure pull changes upstream either git fetch upstream merge later, git pull upstream fetch merge one step. Make changes (make changes new branch). alter package functionality (e.g., code , just documentation) please write tests cover new functionality. Push changes account. Submit pull request master branch kadyb/rgugik. use testthat unit tests. Contributions test cases included prioritized accept. Please make sure new code documentation match existing style. use lintr static code analysis (.e., code style).","code":""},{"path":"https://kadyb.github.io/rgugik/CONTRIBUTING.html","id":"questions","dir":"","previous_headings":"","what":"Questions","title":"CONTRIBUTING","text":"Questions welcomed Issues page. Adding reproducible example may make easier us answer.","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2020 Krzysztof Dyba, Jakub Nowosad Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"definition","dir":"Articles","previous_headings":"","what":"Definition","title":"Digital elevation model","text":"Digital elevation models models describing terrain surface. created result processing aerial photos, laser scanning (LiDAR), geodetic surveying, radar interferometry (InSAR). DEMs one key datasets Geographic Information Systems (GIS) constitute basis many environmental spatial analyses. addition, source derived products terrain slope aspect. DEM general name group models different characteristics, including: Digital terrain model (DTM) - numerical representation terrain morphological forms. model devoid objects ground, buildings trees. Digital surface model (DSM) - numerical representation terrain, including objects surface, buildings trees. Wikimedia Commons, free media repository, https://commons.wikimedia.org/w/index.php?title=File:DTM_DSM.svg&oldid=475779479 (accessed October 7, 2020). properties DEMs: Format - can distinguish three main structures: GRID (point / cell), TIN (irregular topological triangle network) contour lines (vector). Currently, used format GRID. Accuracy - related vertical measurement error. Spatial resolution - related size smallest object can detected sensor determined size image cell (pixel). larger cell, generalized form terrain presents.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"purpose","dir":"Articles","previous_headings":"","what":"Purpose","title":"Digital elevation model","text":"purpose vignette determine elevation ground surface objects selected area. source data Airborne Laser Scanning already processed GRID format.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"analysis","dir":"Articles","previous_headings":"","what":"Analysis","title":"Digital elevation model","text":"analysis area Morasko Meteorite nature reserve located Greater Poland voivodeship. established 1976 order protect area impact craters, , according researchers, formed fall Morasko meteorite 5,000 years ago. addition, oak-hornbeam forest rare species plants (lilium martagon, ceratophyllum submersum) birds (european nightjar, black woodpecker) protected.","code":"# attach packages library(sf) library(stars) library(rgugik)"},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"vector-data","dir":"Articles","previous_headings":"Analysis","what":"Vector data","title":"Digital elevation model","text":"centroid (geometric center) Morasko Meteorite nature reserve X = 16.895 Y = 52.487 coordinates World Geodetic System 1984 (EPSG 4326). Let’s start creating point sf package. Now point embedded space (spatial reference). next step, let’s create approximate zone include area reserve. function st_buffer() used . operation, need transform coordinate system system metric units, e.g. Poland CS92 (EPSG 2180), using st_transform() function. created buffer radius 400 meters. Let’s visualize . course, area shown exactly reserve area. exact area can determined polygon layer orthophotomap example using General Geographic Database.","code":"morasko = st_point(c(16.895, 52.489)) morasko = st_sfc(morasko, crs = 4326) # set coordinate system morasko ## Geometry set for 1 feature ## Geometry type: POINT ## Dimension: XY ## Bounding box: xmin: 16.895 ymin: 52.489 xmax: 16.895 ymax: 52.489 ## Geodetic CRS: WGS 84 ## POINT (16.895 52.489) morasko = st_transform(morasko, crs = 2180) morasko_buffer = st_buffer(morasko, dist = 400) plot(morasko_buffer, axes = TRUE, main = \"Morasko reserve buffer\") plot(morasko, add = TRUE)"},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"raster-data","dir":"Articles","previous_headings":"Analysis","what":"Raster data","title":"Digital elevation model","text":"Now can search available elevation data area using DEM_request() function (analogous ortho_request() function). argument function reserve buffer. Let’s check obtained results. received metadata many types data different formats, timeliness, resolution, accuracy. analysis, need digital terrain model (DTM) digital surface model (DSM) “ARC/INFO ASCII GRID” format. Let’s make data selection creating two tables combining together. Now can download data using tile_download() function filtered data frame input. run problem download, remember can pass another download method download.file() function argument.","code":"req_df = DEM_request(morasko_buffer) # display the first 10 rows and the first 5 columns req_df[1:10, 1:5] ## sheetID year format resolution avgElevErr ## 1 N-33-130-D-b-1 2007 Intergraph TTN 1.5 ## 2 N-33-130-D-b-1-1 2020 ARC/INFO ASCII GRID 5.0 m 0.5 ## 3 N-33-130-D-b-1-1 2017 ASCII XYZ GRID 1.0 m 0.9 ## 4 N-33-130-D-b-1-1 2012 ARC/INFO ASCII GRID 0.5 m 0.1 ## 5 6.179.11.13.4 2018 ASCII TBD 1.0 m 0.1 ## 6 6.179.11.14.1 2018 ASCII TBD 1.0 m 0.1 ## 7 6.179.11.08.4 2018 ASCII TBD 1.0 m 0.1 ## 8 6.179.11.14.3 2018 ASCII TBD 1.0 m 0.1 ## 9 6.179.11.09.3 2018 ASCII TBD 1.0 m 0.1 ## 10 6.179.11.13.2 2018 ASCII TBD 1.0 m 0.1 req_df_DTM = req_df[req_df$format == \"ARC/INFO ASCII GRID\" & req_df$product == \"DTM\" & req_df$year == 2019, ] req_df_DSM = req_df[req_df$format == \"ARC/INFO ASCII GRID\" & req_df$product == \"DSM\" & req_df$year == 2019, ] # combine data tables req_df = rbind(req_df_DTM, req_df_DSM) req_df[, 1:5] ## sheetID year format resolution avgElevErr ## 39 N-33-130-D-b-1-1 2019 ARC/INFO ASCII GRID 1.0 m 0.1 ## 11 N-33-130-D-b-1-1 2019 ARC/INFO ASCII GRID 0.5 m 0.1 # 168.7 MB tile_download(req_df, outdir = \"./data\") ## 1/2 ## 2/2 tile_download(req_df, outdir = \"./data\", method = \"wget\")"},{"path":"https://kadyb.github.io/rgugik/articles/DEM.html","id":"processing","dir":"Articles","previous_headings":"Analysis","what":"Processing","title":"Digital elevation model","text":"Let’s load downloaded numerical models using read_stars() function stars package, allows working spatiotemporal arrays. two files, one represents DTM second represents DSM. probably noticed four-fold difference sizes. due difference cells resolutions. need unify common resolution able combine one stack. much better use lower resolution increase , get information processing faster. Let’s use st_warp() function . Now, models dimensions (number rows columns) spatial resolution. Thus, can combine one object (DEM). Now DEM object consists two attributes (DTM DSM). fact, attributes contains type data representing elevation. Therefore, can collapse attributes new dimension. Let’s using st_redimension(). operation, elevation attribute consists DTM DSM layers (dimensions). let’s crop rasters buffer. Let’s check result looks like. first quadrant circle, can see five smaller circles. craters formed impact Morasko meteorite. largest fragment found weighs 272 kg largest meteorite found Poland. collection found meteorites can seen Earth Museum Poznań. Let’s calculate crater width using terrain transverse profile. can use centroid add second example point 30 degrees towards N. Next, connect points line (st_linestring()) sample line every 1 m (st_line_sample()), DEM resolution. result, get one complex geometry (MULTIPOINT), convert simple geometry (POINT) consisting many points. function st_cast() used . last step, extract elevation values points using st_extract(). Now can see transverse profile looks like. largest width impact crater 90 m. Okay, checked terrain. last step, let’s examine height objects . purpose, calculate height trees subtracting DTM DSM. product difference called normalized DSM, takes terrain elevation reference.","code":"# load data DTM = read_stars(\"data/73044_917579_N-33-130-D-b-1-1.asc\", proxy = FALSE) DSM = read_stars(\"data/73043_917495_N-33-130-D-b-1-1.asc\", proxy = FALSE) # name raster names(DTM) = \"DTM\" names(DSM) = \"DSM\" # set coordinate system st_crs(DTM) = 2180 st_crs(DSM) = 2180 DSM = st_warp(DSM, dest = DTM, cellsize = 1) DEM = c(DTM, DSM) length(DEM) ## [1] 2 DEM = st_redimension(DEM) names(st_dimensions(DEM))[3] = \"elev\" # name new data dim st_dimensions(DEM) ## from to offset delta refsys point values x/y ## x 1 2188 355733 1 ETRS89 / Poland CS92 TRUE NULL [x] ## y 1 2379 517029 -1 ETRS89 / Poland CS92 TRUE NULL [y] ## elev 1 2 NA NA NA NA DTM, DSM DEM = st_crop(DEM, morasko_buffer) plot(DEM, col = terrain.colors(99, alpha = NULL)) pts_matrix = matrix(c(357121.7, 515765.5, 357321.2, 516017.9), ncol = 2, byrow = TRUE) line = st_sfc(st_linestring(pts_matrix), crs = 2180) line = st_line_sample(line, density = 1) line = st_cast(line, \"POINT\") # plot DTM (first layer) plot(DEM[, , , 1], main = \"DTM [m]\", col = terrain.colors(99, alpha = NULL), reset = FALSE) plot(line, col = \"red\", add = TRUE) # take elevation from DTM and DSM layers elev_line = st_extract(DEM, line)[[1]] colnames(elev_line) = c(\"DTM\", \"DSM\") # use 'dev.off()' to reset previous plot plot(elev_line[, \"DTM\"], type = \"l\", main = \"Digital terrain model\", ylab = \"Elevation [m]\", xlab = \"Distance [m]\", col = \"red\") abline(v = c(126, 219), col = \"blue\") calc = function(DEM) (DEM[2] - DEM[1]) nDSM = st_apply(DEM, MARGIN = c(\"x\", \"y\"), FUN = calc) plot(nDSM, main = \"Trees height [m]\", col = hcl.colors(9, palette = \"Greens\", rev = TRUE))"},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"definition","dir":"Articles","previous_headings":"","what":"Definition","title":"Orthophotomap","text":"Orthophotomap raster, orthogonal cartometric representation terrain surface created digital processing aerial satellite images. orthorectification, geometric distortions resulting land relief removed using digital elevation models (DEM). orthophotomap georeferenced, therefore, allows determine geographic coordinates cells. Orthophotomaps’ properties: Spatial resolution - related size smallest object can detected sensor determined size image cell (pixel). smaller cell, detail represents. large pixel means individual objects scene longer recognizable. Composition - analog images shades gray, digital images can natural colors (RGB) near infrared (NIR).","code":""},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"purpose","dir":"Articles","previous_headings":"","what":"Purpose","title":"Orthophotomap","text":"purpose vignette assess vegetation condition selected area. can done based remote sensing data (multispectral orthophotomap) simple vegetation index. NDVI (Normalized Difference Vegetation Index) simple indicator vegetation uses red near infrared bands. main application monitoring forecasting agricultural production. calculated using following formula: NDVI=NIR−REDNIR+REDNDVI = \\frac {NIR - RED} {NIR + RED} value ranges -1 1. higher value, higher biomass level. Values close 0 related water, bare soil surfaces buildings.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"analysis","dir":"Articles","previous_headings":"","what":"Analysis","title":"Orthophotomap","text":"analysis area Krajkowo nature reserve located Greater Poland voivodeship. established 1958 order protect breeding places birds, especially grey heron great black cormorant, protect landscape Warta oxbow.","code":"# attach packages library(sf) library(stars) library(rgugik)"},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"vector-data","dir":"Articles","previous_headings":"Analysis","what":"Vector data","title":"Orthophotomap","text":"Data nature reserves can found General Geographic Databases. can obtain using geodb_download() function. Let’s . run problem download, remember can pass another download method download.file() function argument. downloaded database consists many files GML (Geography Markup Language) format. brief description structure database can found . table nature reserves “PL.PZGIK.201.30__OT_TCRZ_A.xml” file. can use sf package read_sf() function load . Let’s check structure data. simple terms, spatial table consisting 110 observations (rows) 28 variables (columns). names objects located nazwa column, allow us select Krajkowo reserve . can display two basic ways: Using plot() function directly specifying column object geometry: plot(krajkowo$geometry) Using plot() st_geometry() functions obtain geometry vector layer. first case, need know name column geometries (e.g. geometry, geom, etc.), second case, geometry selected automatically (safer preferable way). can also calculate area polygon. st_area() function returned area m^2, conversion got result 165 ha.","code":"# 17.6 MB geodb_download(\"wielkopolskie\", outdir = \"./data\") geodb_download(req_df, outdir = \"./data\", method = \"wget\") reserves = read_sf(\"data/PL.PZGiK.201.30/BDOO/PL.PZGIK.201.30__OT_TCRZ_A.xml\") ncol(reserves) ## [1] 28 nrow(reserves) ## [1] 110 # selection by attribute krajkowo = reserves[reserves$nazwa == \"Krajkowo\", ] plot(st_geometry(krajkowo), axes = TRUE, main = \"Krajkowo reserve\") krajkowo_area = st_area(krajkowo) # [m^2] units::set_units(krajkowo_area, \"ha\") # convert to [ha] ## 165.2744 [ha]"},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"raster-data","dir":"Articles","previous_headings":"Analysis","what":"Raster data","title":"Orthophotomap","text":"Now let’s move stage downloading orthophotomap. use ortho_request() function show us images available analyzed area. need provide Krajkowo polygon argument function. can display resulting table using code . complete task, need obtain near infrared data. next step, select rows composition column value “CIR”. let’s sort table according year photo taken, recent images top table. Let’s display table select newest compositions. Note result pair objects (images). means Krajkowo reserve depicted two photos within one series. Therefore, seriesID column used combine smaller images larger mosaic. tile_download() function used download orthophotomaps taking selected table main argument. can also specify output folder outdir argument.","code":"req_df = ortho_request(krajkowo) # display the first 10 rows and the first 6 columns req_df[1:10, 1:6] ## sheetID year resolution composition sensor CRS ## 1 N-33-142-B-d-4-2 2004 0.50 B/W Analog PL-1992 ## 2 N-33-142-B-d-4-4 2004 0.50 B/W Analog PL-1992 ## 3 N-33-142-B-d-4-4 2010 0.25 RGB Digital PL-1992 ## 4 N-33-142-B-d-4-2 2010 0.25 RGB Digital PL-1992 ## 5 N-33-142-B-d-4-4 2010 0.25 CIR Digital PL-1992 ## 6 N-33-142-B-d-4-2 2010 0.25 CIR Digital PL-1992 ## 7 N-33-142-B-d-4-2 2016 0.25 CIR Digital PL-1992 ## 8 N-33-142-B-d-4-2 2016 0.25 RGB Digital PL-1992 ## 9 N-33-142-B-d-4-4 2016 0.25 CIR Digital PL-1992 ## 10 N-33-142-B-d-4-4 2016 0.25 RGB Digital PL-1992 # select IR images and overwrite the req_df object req_df = req_df[req_df$composition == \"CIR\", ] req_df = req_df[order(-req_df$year), ] req_df[, c(1:5, 9)] ## sheetID year resolution composition sensor seriesID ## 7 N-33-142-B-d-4-2 2016 0.25 CIR Digital 69837 ## 9 N-33-142-B-d-4-4 2016 0.25 CIR Digital 69837 ## 22 N-33-142-B-d-4-2 2013 0.25 CIR Digital 69903 ## 24 N-33-142-B-d-4-4 2013 0.25 CIR Digital 69903 ## 5 N-33-142-B-d-4-4 2010 0.25 CIR Digital 69763 ## 6 N-33-142-B-d-4-2 2010 0.25 CIR Digital 69763 req_df = req_df[req_df$year == 2016, ] req_df[, c(1:5, 9)] ## sheetID year resolution composition sensor seriesID ## 7 N-33-142-B-d-4-2 2016 0.25 CIR Digital 69837 ## 9 N-33-142-B-d-4-4 2016 0.25 CIR Digital 69837 # 61.9 MB tile_download(req_df, outdir = \"./data\") ## 1/2 ## 2/2"},{"path":"https://kadyb.github.io/rgugik/articles/orthophotomap.html","id":"processing","dir":"Articles","previous_headings":"Analysis","what":"Processing","title":"Orthophotomap","text":"Let’s load downloaded orthophotomaps using read_stars() function stars package, allows working spatiotemporal arrays. case, raster consisting three bands (NIR, R, G) one point time. don’t need load entire data array memory - can read file’s metadata instead using proxy argument. Now can perform two operations: rasters merging cropping reserve area. use proxy allows get result almost immediately, processing entire image (proxy = FALSE) take several minutes. Images specific Coordinate Reference Systems, let’s make sure correct one merging. EPSG 2180 case. Let’s display effect using plot() function, define input bands rgb argument. creates composition consisting three bands: NIR, R G case. composition shown infrared, natural colors, may misinterpreted rgb argument name. last step, calculate NDVI using near infrared (1) red (2) bands. surprising observation relatively low NDVI values forest area. two reasons , .e. photos taken mid-March (start growing season) probably calibrated. reason, better source data analysis may satellite images, calibrated spectrally obtained continuously (cloudiness occurs).","code":"img1 = read_stars(\"data/69837_329609_N-33-142-B-d-4-2.TIF\", proxy = TRUE) img2 = read_stars(\"data/69837_329613_N-33-142-B-d-4-4.TIF\", proxy = TRUE) img = st_mosaic(img1, img2) st_crs(img) = 2180 # overwrite CRS to be sure img = st_crop(img, krajkowo) plot(img, rgb = c(1, 2, 3), main = NULL) calc_ndvi = function(img) (img[1] - img[2]) / (img[1] + img[2]) ndvi = st_apply(img, MARGIN = c(\"x\", \"y\"), FUN = calc_ndvi) plot(ndvi, main = \"NDVI\", col = hcl.colors(10, palette = \"RdYlGn\"))"},{"path":[]},{"path":"https://kadyb.github.io/rgugik/articles/spatialdb_description.html","id":"second-level-of-categories-names-of-vector-layers","dir":"Articles","previous_headings":"","what":"Second level of categories (names of vector layers)","title":"Spatial Databases","text":"last character vector layer name means: P - point L - line - area","code":""},{"path":"https://kadyb.github.io/rgugik/articles/spatialdb_description.html","id":"other-files","dir":"Articles","previous_headings":"","what":"Other files","title":"Spatial Databases","text":"“UzytkownikXX (UserXX)” - contact details Voivodeship Marshal’s Office. “XX” contains TERC (voivodeship ID). Files names: “Ciek (Watercourse)”, “LiniaKolejowa (Railway line)”, “SzlakDrogowy (Road trail)”, “WezelKolejowy (Railway junction)”, “ZbiornikWodny (Reservoir)” contain metadata objects.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"definition","dir":"Articles","previous_headings":"","what":"Definition","title":"Topographic Database","text":"Topographic Database (pl. Baza Danych Obiektów Topograficznych) vector (object) database containing spatial location topographic objects characteristics Poland. content detail database correspond topographic map scale 1:10000. thematic scope includes information water network, communication network, land cover, buildings technical structures, utility infrastructure, land use, protected areas, territorial division units, objects. database available Geography Markup Language (GML) format. source data comes : spatial databases maintained Polish Head Office Geodesy Cartography (e.g. Register Towns, Streets Addresses, Register Land Buildings, State Register Borders), databases maintained ministries institutions (e.g., Ministry Infrastructure, State Water Management, General Directorate Environmental Protection), fieldworks.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"purpose","dir":"Articles","previous_headings":"","what":"Purpose","title":"Topographic Database","text":"purpose vignette perform spatial operations vector data Topographic Database. focus four cases, taking account different types geometry, .e. point, line, polygon, attributes. Also, show can visualized.","code":""},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"analysis","dir":"Articles","previous_headings":"","what":"Analysis","title":"Topographic Database","text":"analysis area bieszczadzki county located Subcarpathian (podkarpackie) voivodeship. farthest south area Poland also lowest population density (19 people km2).","code":"# attach packages library(sf) library(rgugik)"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"database","dir":"Articles","previous_headings":"Analysis","what":"Database","title":"Topographic Database","text":"start downloading topographic database county using topodb_download() function. run problem download, remember can pass another download method download.file() function argument. downloaded database consists many files GML format. data necessary analyzes can found data/PL.PZGiK.332.1801/BDOT10k/ location. brief description structure database can found . First, let’s load file administrative units (“PL.PZGiK.332.1801__OT_ADJA_A.xml”) using sf package read_sf() function. file contains administrative units various levels, let’s choose lowest level, .e. communes. three types communes dataset, specified rodzaj column: urban (GM), rural (GW), urban-rural (Gmw). Let’s select . can see bieszczadzki county consists two rural communes one urban-rural commune. Let’s visualize .","code":"# 22.4 MB topodb_download(\"bieszczadzki\", outdir = \"./data\") topodb_download(req_df, outdir = \"./data\", method = \"wget\") territory = read_sf(\"data/PL.PZGiK.332.1801/BDOT10k/PL.PZGiK.332.1801__OT_ADJA_A.xml\") communes = territory[territory$rodzaj %in% c(\"GM\", \"GW\", \"Gmw\"), \"rodzaj\"] table(communes$rodzaj) ## ## Gmw GW ## 1 2 plot(communes, axes = TRUE, main = \"Bieszczadzki county\")"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"lengths-and-categories-of-roads","dir":"Articles","previous_headings":"Analysis","what":"Lengths and categories of roads","title":"Topographic Database","text":"first task, calculate lengths roads, taking account categories. Road data can found “PL.PZGiK.332.1801__OT_SKDR_L.xml” file. Let’s plot . use plot() function , time combine two layers one image. first layer (background) contains roads add another layer, set argument reset \"FALSE\". can add second layer territory borders setting add argument \"TRUE\". six road categories related managing entity. : national (K), voivodeship (W), county (P), communal (G), institutional (Z), () roads. use st_length() function find length object table. Next, create data frame consisting road category length. aggregate data frame calculate sum lengths category. results given meters - let’s convert kilometers. Let’s also change names categories. Now can see results. type roads dominates consists mainly non-public roads. can also calculate total length roads area. result 3328.285 km. Another aspect data can investigate density road network. need calculate total area first, divide total road length total area. road density 2.92 km/km2.","code":"roads = read_sf(\"data/PL.PZGiK.332.1801/BDOT10k/PL.PZGiK.332.1801__OT_SKDR_L.xml\") plot(roads[\"katZarzadzania\"], main = \"Road category\", reset = FALSE) plot(st_geometry(territory), add = TRUE) length_roads = st_length(roads) length_roads = data.frame(length = length_roads, class = as.factor(roads$katZarzadzania)) length_roads = aggregate(length ~ class, data = length_roads, FUN = sum) # convert to [km] length_roads$length = units::set_units(length_roads$length, \"km\") road_class = c(\"communal\", \"other\", \"national\", \"county\", \"voivodeship\", \"institutional\") levels(length_roads$class) = road_class length_roads ## class length ## 1 communal 186.17329 [km] ## 2 other 2819.55806 [km] ## 3 national 19.24996 [km] ## 4 county 187.17870 [km] ## 5 voivodeship 105.67567 [km] ## 6 institutional 10.44893 [km] sum(length_roads$length) ## 3328.285 [km] communes_area = sum(st_area(communes)) communes_area = units::set_units(communes_area, \"km2\") density = sum(length_roads$length)/communes_area density = units::set_units(density, \"km/km2\") density ## 2.921031 [km/km2]"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"roads-through-the-rivers","dir":"Articles","previous_headings":"Analysis","what":"Roads through the rivers","title":"Topographic Database","text":"Another dataset included Topographic Database contains rivers area (“PL.PZGiK.332.1801__OT_SWRS_L.xml”). Rivers divided smaller sections different parameters, river width data source. Let’s merge sections rivers single feature (geometry) - can use attribute ID (idMPHP) purpose. can also give river category number creating sequence 1 n using seq_len function. Let’s visualize rivers’ courses. rivers roads, can designate points intersection symbolize bridges crossings. can use st_intersection() function . get 81 points. Let’s plot .","code":"rivers = read_sf(\"data/PL.PZGiK.332.1801/BDOT10k/PL.PZGiK.332.1801__OT_SWRS_L.xml\") rivers = rivers[rivers$rodzaj == \"Rz\", ] # select only rivers rivers = aggregate(rivers[, c(\"geometry\", \"idMPHP\")], list(rivers$idMPHP), sum) rivers$idMPHP = seq_len(length(unique(rivers$idMPHP))) rivers$idMPHP = as.factor(rivers$idMPHP) plot(rivers[\"idMPHP\"], main = \"Rivers\", reset = FALSE) plot(st_geometry(territory), add = TRUE) bridges = st_geometry(st_intersection(rivers, roads)) length(bridges) ## [1] 81 # use 'dev.off()' to reset previous plot plot(st_geometry(rivers), main = \"Bridges and crossings\", col = \"blue\") plot(st_geometry(territory), add = TRUE) plot(bridges, add = TRUE, pch = 20)"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"land-cover","dir":"Articles","previous_headings":"Analysis","what":"Land cover","title":"Topographic Database","text":"Land cover physical material surface earth like grass, trees, bare ground, water, etc. Let’s check land cover data county - stored files PT prefix. use list.files() function list . pattern argument important determines files selected. pattern look like : PT+.+\\\\.xml$ - files containing areal data () land cover (PT) listed. also can exclude “PL.PZGiK.332.1801__OT_PTSO_A.xml” file list, file contains zero objects (features). Let’s prepare names objects data loaded. following names extended names abbreviations stored filenames. Now load GML file, naming list . Instead using loop, can use lapply() function, performs specific action element vector. action case load GML files using read_sf(). Previously, used st_length() calculate line length, now use corresponding st_area() function calculate area. use lapply() function analogously, work item list. similar function sapply(), returns vector instead list. Let’s see results (kilometers). Let’s make sure total land cover equal area county. tiny precision differences possible, set difference tolerance. possible using .equal() function. Everything correct. Let’s present results percentages area sort descending order. 75% county’s area covered forests less 1% buildings.","code":"files = list.files(\"data/PL.PZGiK.332.1801/BDOT10k\", pattern = \"PT+.+A\\\\.xml$\", full.names = TRUE) # print filenames basename(files) ## [1] \"PL.PZGiK.332.1801__OT_PTGN_A.xml\" ## [2] \"PL.PZGiK.332.1801__OT_PTKM_A.xml\" ## [3] \"PL.PZGiK.332.1801__OT_PTLZ_A.xml\" ## [4] \"PL.PZGiK.332.1801__OT_PTNZ_A.xml\" ## [5] \"PL.PZGiK.332.1801__OT_PTPL_A.xml\" ## [6] \"PL.PZGiK.332.1801__OT_PTRK_A.xml\" ## [7] \"PL.PZGiK.332.1801__OT_PTSO_A.xml\" ## [8] \"PL.PZGiK.332.1801__OT_PTTR_A.xml\" ## [9] \"PL.PZGiK.332.1801__OT_PTUT_A.xml\" ## [10] \"PL.PZGiK.332.1801__OT_PTWP_A.xml\" ## [11] \"PL.PZGiK.332.1801__OT_PTWZ_A.xml\" ## [12] \"PL.PZGiK.332.1801__OT_PTZB_A.xml\" # drop \"OT_PTSO_A.xml\" files = files[-7] layer_names = c(\"fallowlands\", \"communication\", \"forest\", \"undeveloped\", \"squares\", \"shrublands\", \"crops\", \"grassland\", \"water\", \"heaps\", \"buildings\") layers = lapply(files, read_sf) names(layers) = layer_names # calculate areas in each layer area_landcover = lapply(layers, st_area) # sum areas for each layer area_landcover = sapply(area_landcover, sum) # convert units area_landcover = units::set_units(area_landcover, \"m^2\") area_landcover = units::set_units(area_landcover, \"km^2\") names(area_landcover) = layer_names area_landcover ## Units: [km^2] ## fallowlands communication forest undeveloped squares ## 0.07561383 1.97014481 860.17248134 0.27817715 0.29038385 ## shrublands crops grassland water heaps ## 1.57266555 255.13528884 0.63447491 8.81181550 0.09220115 ## buildings ## 10.38781092 all.equal(sum(area_landcover), communes_area, tolerance = 0.001) ## [1] TRUE landcover_percentage = area_landcover / sum(area_landcover) * 100 units(landcover_percentage) = NULL # drop units landcover_percentage = sort(landcover_percentage, decreasing = TRUE) landcover_percentage = round(landcover_percentage, 2) landcover_percentage ## forest crops buildings water communication ## 75.49 22.39 0.91 0.77 0.17 ## shrublands grassland squares undeveloped heaps ## 0.14 0.06 0.03 0.02 0.01 ## fallowlands ## 0.01"},{"path":"https://kadyb.github.io/rgugik/articles/topodb.html","id":"buffer","dir":"Articles","previous_headings":"Analysis","what":"Buffer","title":"Topographic Database","text":"last analysis vignette, want check many buildings bus stops within given distance. can apply spatial buffers solve question. Information bus stops “PL.PZGiK.332.1801__OT_OIKM_P.xml” file, represented OIKM04 value x_kod attribute. Let’s prepare visualization bus stops marked blue dots buildings presented red polygons. Let’s create buffer bus stop range 1 km using st_buffer(). Now, can plot . return buildings within buffer range, can perform st_within() operation. result nested list consists 2828 buildings associated buffers. Let’s count many buildings buffer using sapply() previous examples. Answer last question: 14% buildings county access bus stop within 1 km radius.","code":"bus_stop = read_sf(\"data/PL.PZGiK.332.1801/BDOT10k/PL.PZGiK.332.1801__OT_OIKM_P.xml\") bus_stop = bus_stop[bus_stop$x_kod == \"OIKM04\", ] buildings = layers$buildings plot(st_geometry(communes), main = \"Bus stops\") plot(st_geometry(layers$buildings), add = TRUE, border = \"red\") plot(st_geometry(bus_stop), add = TRUE, pch = 20, cex = 0.7, col = \"blue\") bus_buffer = st_buffer(bus_stop, 1000) plot(st_geometry(communes), main = \"Bus stops buffers\") plot(st_geometry(buildings), add = TRUE, border = \"red\") plot(st_geometry(bus_buffer), add = TRUE) buildings_buffer = st_within(buildings, bus_buffer) buildings_ex = sapply(buildings_buffer, length) buildings_ex = sum(buildings_ex == 0) buildings_ex = round(buildings_ex / nrow(buildings) * 100) buildings_ex ## [1] 14"},{"path":"https://kadyb.github.io/rgugik/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Krzysztof Dyba. Author, maintainer. Jakub Nowosad. Author. Maciej Beręsewicz. Contributor. GUGiK. Contributor. source data","code":""},{"path":"https://kadyb.github.io/rgugik/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Dyba, K. Nowosad, J. (2021). rgugik: Search Retrieve Spatial Data Polish Head Office Geodesy Cartography R. Journal Open Source Software, 6(59), 2948, https://doi.org/10.21105/joss.02948","code":"@Article{, title = {rgugik: Search and Retrieve Spatial Data from the Polish Head Office of Geodesy and Cartography in R}, author = {Krzysztof Dyba and Jakub Nowosad}, journal = {Journal of Open Source Software}, year = {2021}, volume = {6}, number = {59}, pages = {2948}, doi = {10.21105/joss.02948}, url = {https://doi.org/10.21105/joss.02948}, }"},{"path":"https://kadyb.github.io/rgugik/index.html","id":"rgugik-","dir":"","previous_headings":"","what":"Search and Retrieve Spatial Data from GUGiK","title":"Search and Retrieve Spatial Data from GUGiK","text":"rgugik R package downloading open data resources Polish Head Office Geodesy Cartography including: Orthophotomaps General Geographic Database Topographic Database Register Towns, Streets Addresses State Register Geographical Names State Register Borders Location (geometry) cadastral parcels using TERYT (parcel ID) coordinates 3D models buildings (LOD1, LOD2) Digital terrain model Digital surface model Point cloud also possible geocode addresses objects using geocodePL_get() function. Corresponding functions additional functions obtaining digital terrain model: pointDTM_get() small areas (high resolution grid) pointDTM100_download() voivodeships areas (low resolution grid) minmaxDTM_get() find minimum maximum elevation (small areas) names administrative units IDs included objects: voivodeship_names (16) county_names (380) commune_names (2476)","code":""},{"path":"https://kadyb.github.io/rgugik/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Search and Retrieve Spatial Data from GUGiK","text":"can install released version CRAN : can install development version GitHub :","code":"install.packages(\"rgugik\") # install.packages(\"remotes\") remotes::install_github(\"kadyb/rgugik\")"},{"path":[]},{"path":"https://kadyb.github.io/rgugik/index.html","id":"orthophotomap","dir":"","previous_headings":"Usage","what":"Orthophotomap","title":"Search and Retrieve Spatial Data from GUGiK","text":"ortho_request() - returns data frame metadata links orthoimages given geometry (point, line polygon) tile_download() - downloads orthoimages based data frame obtained using ortho_request() function","code":"library(rgugik) library(sf) library(stars) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) req_df = ortho_request(polygon) # select the oldest image req_df = req_df[req_df$year == 2001, ] # print metadata t(req_df) #> 27 #> sheetID \"N-33-130-D-b-2-3\" #> year \"2001\" #> resolution \"1\" #> composition \"RGB\" #> sensor \"Satellite\" #> CRS \"PL-1992\" #> date \"2001-01-01\" #> isFilled \"TRUE\" #> URL \"https://opendata.geoportal.gov.pl/ortofotomapa/41/41_3756_N-33-130-D-b-2-3.tif\" #> filename \"41_3756_N-33-130-D-b-2-3\" #> seriesID \"41\" # download image tile_download(req_df) #> 1/1 img = read_stars(\"41_3756_N-33-130-D-b-2-3.tif\") plot(st_rgb(img), main = NULL)"},{"path":"https://kadyb.github.io/rgugik/index.html","id":"administrative-boundaries","dir":"","previous_headings":"Usage","what":"Administrative boundaries","title":"Search and Retrieve Spatial Data from GUGiK","text":"","code":"library(rgugik) library(sf) # get counties from opolskie voivodeship (TERYT 16) counties = county_names counties = counties[substr(counties$TERYT, 1, 2) == \"16\", \"TERYT\"] counties_geom = borders_get(TERYT = counties) plot(st_geometry(counties_geom), main = \"Opolskie\")"},{"path":"https://kadyb.github.io/rgugik/index.html","id":"vignettes","dir":"","previous_headings":"Usage","what":"Vignettes","title":"Search and Retrieve Spatial Data from GUGiK","text":"advanced examples practical (step step) use package can found vignettes: Orthophotomap Digital elevation model Topographic Database","code":""},{"path":"https://kadyb.github.io/rgugik/index.html","id":"acknowledgment","dir":"","previous_headings":"","what":"Acknowledgment","title":"Search and Retrieve Spatial Data from GUGiK","text":"Head Office Geodesy Cartography Poland main source provided data. data made available accordance Act May 17, 1989 Geodetic Cartographic Law (amended 16 April 2020). datasets can explored interactively using Geoportal.","code":""},{"path":"https://kadyb.github.io/rgugik/index.html","id":"contribution","dir":"","previous_headings":"","what":"Contribution","title":"Search and Retrieve Spatial Data from GUGiK","text":"Contributions package welcome. preferred method contribution GitHub pull request. Feel also free contact us creating issue. detailed information can found CONTRIBUTING document. Maintainers contributors must follow repository’s CODE CONDUCT.","code":""},{"path":"https://kadyb.github.io/rgugik/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Search and Retrieve Spatial Data from GUGiK","text":"cite rgugik publications, please use following article: BibTeX version can obtained citation(\"rgugik\").","code":"Dyba, K. and Nowosad, J. (2021). rgugik: Search and Retrieve Spatial Data from the Polish Head Office of Geodesy and Cartography in R. Journal of Open Source Software, 6(59), 2948, https://doi.org/10.21105/joss.02948"},{"path":"https://kadyb.github.io/rgugik/index.html","id":"related-projects","dir":"","previous_headings":"","what":"Related projects","title":"Search and Retrieve Spatial Data from GUGiK","text":"don’t feel familiar R, similar QGIS tool EnviroSolutions repository.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":null,"dir":"Reference","previous_headings":"","what":"Get metadata and links to available digital elevation models — DEM_request","title":"Get metadata and links to available digital elevation models — DEM_request","text":"Get metadata links available digital elevation models","code":""},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get metadata and links to available digital elevation models — DEM_request","text":"","code":"DEM_request(x)"},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get metadata and links to available digital elevation models — DEM_request","text":"x sf, sfc SpatVector object one features (requests based bounding boxes provided features)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get metadata and links to available digital elevation models — DEM_request","text":"data frame metadata links digital elevation models (different formats digital terrain model, digital surface model point clouds)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get metadata and links to available digital elevation models — DEM_request","text":"server can return maximum 2000 records single query. area interest exceeds limit, can generate grid smaller polygons (sf::st_make_grid()) regular grid points (sf::st_sample()).","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/reference/DEM_request.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get metadata and links to available digital elevation models — DEM_request","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) req_df = DEM_request(polygon) # simple filtering by attributes req_df = req_df[req_df$year > 2018, ] req_df = req_df[req_df$product == \"PointCloud\" & req_df$format == \"LAS\", ] } # }"},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download State Register of Borders — borders_download","title":"Download State Register of Borders — borders_download","text":"Download State Register Borders","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download State Register of Borders — borders_download","text":"","code":"borders_download(type, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download State Register of Borders — borders_download","text":"type \"administrative units\", \"special units\" \"addresses\" outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download State Register of Borders — borders_download","text":"selected data type SHP format","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download State Register of Borders — borders_download","text":"","code":"if (FALSE) { # \\dontrun{ borders_download(\"administrative units\") # 366 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the boundaries of administrative units — borders_get","title":"Get the boundaries of administrative units — borders_get","text":"Get boundaries administrative units","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the boundaries of administrative units — borders_get","text":"","code":"borders_get(voivodeship = NULL, county = NULL, commune = NULL, TERYT = NULL)"},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the boundaries of administrative units — borders_get","text":"voivodeship selected voivodeships Polish. Check voivodeship_names() function county county names Polish. Check county_names() function commune commune names Polish. Check commune_names() function TERYT voivodeships, counties communes (2, 4 7 characters)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the boundaries of administrative units — borders_get","text":"sf data.frame (EPSG: 2180)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get the boundaries of administrative units — borders_get","text":"arguments NULL (default), boundary Poland returned.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/borders_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the boundaries of administrative units — borders_get","text":"","code":"if (FALSE) { # \\dontrun{ voivodeship_geom = borders_get(voivodeship = \"lubuskie\") # 494 KB county_geom = borders_get(county = \"Sopot\") # 18 KB commune_geom = borders_get(commune = c(\"Hel\", \"Krynica Morska\")) # 11 KB poland_geom = borders_get() # 1124.3 KB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":null,"dir":"Reference","previous_headings":"","what":"Communes in Poland — commune_names","title":"Communes in Poland — commune_names","text":"data frame contains names communes, identifiers (TERC, 7 characters).","code":""},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Communes in Poland — commune_names","text":"","code":"commune_names"},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Communes in Poland — commune_names","text":"object class data.frame 2477 rows 2 columns.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Communes in Poland — commune_names","text":"Last update: 2 January 2024","code":""},{"path":"https://kadyb.github.io/rgugik/reference/commune_names.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Communes in Poland — commune_names","text":"","code":"commune_names #> NAME TERYT #> 1 Bolesławiec 0201011 #> 2 Bolesławiec 0201022 #> 3 Gromadka 0201032 #> 4 Nowogrodziec 0201043 #> 5 Osiecznica 0201052 #> 6 Warta Bolesławiecka 0201062 #> 7 Bielawa 0202011 #> 8 Dzierżoniów 0202021 #> 9 Pieszyce 0202033 #> 10 Piława Górna 0202041 #> 11 Dzierżoniów 0202052 #> 12 Łagiewniki 0202062 #> 13 Niemcza 0202073 #> 14 Głogów 0203011 #> 15 Głogów 0203022 #> 16 Jerzmanowa 0203032 #> 17 Kotla 0203042 #> 18 Pęcław 0203052 #> 19 Żukowice 0203062 #> 20 Góra 0204013 #> 21 Jemielno 0204022 #> 22 Niechlów 0204032 #> 23 Wąsosz 0204043 #> 24 Jawor 0205011 #> 25 Bolków 0205023 #> 26 Męcinka 0205032 #> 27 Mściwojów 0205042 #> 28 Paszowice 0205052 #> 29 Wądroże Wielkie 0205062 #> 30 Karpacz 0206011 #> 31 Kowary 0206021 #> 32 Piechowice 0206031 #> 33 Szklarska Poręba 0206041 #> 34 Janowice Wielkie 0206052 #> 35 Jeżów Sudecki 0206062 #> 36 Mysłakowice 0206072 #> 37 Podgórzyn 0206082 #> 38 Stara Kamienica 0206092 #> 39 Kamienna Góra 0207011 #> 40 Kamienna Góra 0207022 #> 41 Lubawka 0207033 #> 42 Marciszów 0207042 #> 43 Duszniki-Zdrój 0208011 #> 44 Kłodzko 0208021 #> 45 Kudowa-Zdrój 0208031 #> 46 Nowa Ruda 0208041 #> 47 Polanica-Zdrój 0208051 #> 48 Bystrzyca Kłodzka 0208063 #> 49 Kłodzko 0208072 #> 50 Lądek-Zdrój 0208083 #> 51 Lewin Kłodzki 0208092 #> 52 Międzylesie 0208103 #> 53 Nowa Ruda 0208112 #> 54 Radków 0208123 #> 55 Stronie Śląskie 0208133 #> 56 Szczytna 0208143 #> 57 Chojnów 0209011 #> 58 Chojnów 0209022 #> 59 Krotoszyce 0209032 #> 60 Kunice 0209042 #> 61 Legnickie Pole 0209052 #> 62 Miłkowice 0209062 #> 63 Prochowice 0209073 #> 64 Ruja 0209082 #> 65 Lubań 0210011 #> 66 Świeradów-Zdrój 0210021 #> 67 Leśna 0210033 #> 68 Lubań 0210042 #> 69 Olszyna 0210053 #> 70 Platerówka 0210062 #> 71 Siekierczyn 0210072 #> 72 Lubin 0211011 #> 73 Lubin 0211022 #> 74 Rudna 0211032 #> 75 Ścinawa 0211043 #> 76 Gryfów Śląski 0212013 #> 77 Lubomierz 0212023 #> 78 Lwówek Śląski 0212033 #> 79 Mirsk 0212043 #> 80 Wleń 0212053 #> 81 Cieszków 0213012 #> 82 Krośnice 0213022 #> 83 Milicz 0213033 #> 84 Oleśnica 0214011 #> 85 Bierutów 0214023 #> 86 Dobroszyce 0214032 #> 87 Dziadowa Kłoda 0214042 #> 88 Międzybórz 0214053 #> 89 Oleśnica 0214062 #> 90 Syców 0214073 #> 91 Twardogóra 0214083 #> 92 Oława 0215011 #> 93 Domaniów 0215022 #> 94 Jelcz-Laskowice 0215033 #> 95 Oława 0215042 #> 96 Chocianów 0216013 #> 97 Gaworzyce 0216022 #> 98 Grębocice 0216032 #> 99 Polkowice 0216043 #> 100 Przemków 0216053 #> 101 Radwanice 0216062 #> 102 Borów 0217012 #> 103 Kondratowice 0217022 #> 104 Przeworno 0217032 #> 105 Strzelin 0217043 #> 106 Wiązów 0217053 #> 107 Kostomłoty 0218012 #> 108 Malczyce 0218022 #> 109 Miękinia 0218033 #> 110 Środa Śląska 0218043 #> 111 Udanin 0218052 #> 112 Świdnica 0219011 #> 113 Świebodzice 0219021 #> 114 Dobromierz 0219032 #> 115 Jaworzyna Śląska 0219043 #> 116 Marcinowice 0219052 #> 117 Strzegom 0219063 #> 118 Świdnica 0219072 #> 119 Żarów 0219083 #> 120 Oborniki Śląskie 0220013 #> 121 Prusice 0220023 #> 122 Trzebnica 0220033 #> 123 Wisznia Mała 0220042 #> 124 Zawonia 0220052 #> 125 Żmigród 0220063 #> 126 Boguszów-Gorce 0221011 #> 127 Jedlina-Zdrój 0221021 #> 128 Szczawno-Zdrój 0221031 #> 129 Czarny Bór 0221042 #> 130 Głuszyca 0221053 #> 131 Mieroszów 0221063 #> 132 Stare Bogaczowice 0221072 #> 133 Walim 0221082 #> 134 Brzeg Dolny 0222013 #> 135 Wińsko 0222022 #> 136 Wołów 0222033 #> 137 Czernica 0223012 #> 138 Długołęka 0223022 #> 139 Jordanów Śląski 0223032 #> 140 Kąty Wrocławskie 0223043 #> 141 Kobierzyce 0223052 #> 142 Mietków 0223062 #> 143 Sobótka 0223073 #> 144 Siechnice 0223083 #> 145 Żórawina 0223092 #> 146 Bardo 0224013 #> 147 Ciepłowody 0224022 #> 148 Kamieniec Ząbkowicki 0224033 #> 149 Stoszowice 0224042 #> 150 Ząbkowice Śląskie 0224053 #> 151 Ziębice 0224063 #> 152 Złoty Stok 0224073 #> 153 Zawidów 0225011 #> 154 Zgorzelec 0225021 #> 155 Bogatynia 0225033 #> 156 Pieńsk 0225043 #> 157 Sulików 0225052 #> 158 Węgliniec 0225063 #> 159 Zgorzelec 0225072 #> 160 Wojcieszów 0226011 #> 161 Złotoryja 0226021 #> 162 Pielgrzymka 0226032 #> 163 Świerzawa 0226043 #> 164 Zagrodno 0226052 #> 165 Złotoryja 0226062 #> 166 Jelenia Góra 0261011 #> 167 Legnica 0262011 #> 168 Wrocław 0264011 #> 169 Wałbrzych 0265011 #> 170 Aleksandrów Kujawski 0401011 #> 171 Ciechocinek 0401021 #> 172 Nieszawa 0401031 #> 173 Aleksandrów Kujawski 0401042 #> 174 Bądkowo 0401052 #> 175 Koneck 0401062 #> 176 Raciążek 0401072 #> 177 Waganiec 0401082 #> 178 Zakrzewo 0401092 #> 179 Brodnica 0402011 #> 180 Bobrowo 0402022 #> 181 Brodnica 0402032 #> 182 Brzozie 0402042 #> 183 Górzno 0402053 #> 184 Bartniczka 0402062 #> 185 Jabłonowo Pomorskie 0402073 #> 186 Osiek 0402082 #> 187 Świedziebnia 0402092 #> 188 Zbiczno 0402102 #> 189 Białe Błota 0403012 #> 190 Dąbrowa Chełmińska 0403022 #> 191 Dobrcz 0403032 #> 192 Koronowo 0403043 #> 193 Nowa Wieś Wielka 0403052 #> 194 Osielsko 0403062 #> 195 Sicienko 0403072 #> 196 Solec Kujawski 0403083 #> 197 Chełmno 0404011 #> 198 Chełmno 0404022 #> 199 Kijewo Królewskie 0404032 #> 200 Lisewo 0404042 #> 201 Papowo Biskupie 0404052 #> 202 Stolno 0404062 #> 203 Unisław 0404072 #> 204 Golub-Dobrzyń 0405011 #> 205 Ciechocin 0405022 #> 206 Golub-Dobrzyń 0405032 #> 207 Kowalewo Pomorskie 0405043 #> 208 Radomin 0405052 #> 209 Zbójno 0405062 #> 210 Grudziądz 0406012 #> 211 Gruta 0406022 #> 212 Łasin 0406033 #> 213 Radzyń Chełmiński 0406043 #> 214 Rogóźno 0406052 #> 215 Świecie nad Osą 0406062 #> 216 Inowrocław 0407011 #> 217 Dąbrowa Biskupia 0407022 #> 218 Gniewkowo 0407033 #> 219 Inowrocław 0407042 #> 220 Janikowo 0407053 #> 221 Kruszwica 0407063 #> 222 Pakość 0407073 #> 223 Rojewo 0407082 #> 224 Złotniki Kujawskie 0407092 #> 225 Lipno 0408011 #> 226 Bobrowniki 0408023 #> 227 Chrostkowo 0408032 #> 228 Dobrzyń nad Wisłą 0408043 #> 229 Kikół 0408053 #> 230 Lipno 0408062 #> 231 Skępe 0408073 #> 232 Tłuchowo 0408082 #> 233 Wielgie 0408092 #> 234 Dąbrowa 0409012 #> 235 Jeziora Wielkie 0409022 #> 236 Mogilno 0409033 #> 237 Strzelno 0409043 #> 238 Kcynia 0410013 #> 239 Mrocza 0410023 #> 240 Nakło nad Notecią 0410033 #> 241 Sadki 0410042 #> 242 Szubin 0410053 #> 243 Radziejów 0411011 #> 244 Bytoń 0411022 #> 245 Dobre 0411032 #> 246 Osięciny 0411042 #> 247 Piotrków Kujawski 0411053 #> 248 Radziejów 0411062 #> 249 Topólka 0411072 #> 250 Rypin 0412011 #> 251 Brzuze 0412022 #> 252 Rogowo 0412032 #> 253 Rypin 0412042 #> 254 Skrwilno 0412052 #> 255 Wąpielsk 0412062 #> 256 Kamień Krajeński 0413013 #> 257 Sępólno Krajeńskie 0413023 #> 258 Sośno 0413032 #> 259 Więcbork 0413043 #> 260 Bukowiec 0414012 #> 261 Dragacz 0414022 #> 262 Drzycim 0414032 #> 263 Jeżewo 0414042 #> 264 Lniano 0414052 #> 265 Nowe 0414063 #> 266 Osie 0414072 #> 267 Pruszcz 0414083 #> 268 Świecie 0414093 #> 269 Świekatowo 0414102 #> 270 Warlubie 0414112 #> 271 Chełmża 0415011 #> 272 Chełmża 0415022 #> 273 Czernikowo 0415032 #> 274 Lubicz 0415042 #> 275 Łubianka 0415052 #> 276 Łysomice 0415062 #> 277 Obrowo 0415072 #> 278 Wielka Nieszawka 0415082 #> 279 Zławieś Wielka 0415092 #> 280 Cekcyn 0416012 #> 281 Gostycyn 0416022 #> 282 Kęsowo 0416032 #> 283 Lubiewo 0416042 #> 284 Śliwice 0416052 #> 285 Tuchola 0416063 #> 286 Wąbrzeźno 0417011 #> 287 Dębowa Łąka 0417022 #> 288 Książki 0417032 #> 289 Płużnica 0417042 #> 290 Ryńsk 0417052 #> 291 Kowal 0418011 #> 292 Baruchowo 0418022 #> 293 Boniewo 0418032 #> 294 Brześć Kujawski 0418043 #> 295 Choceń 0418052 #> 296 Chodecz 0418063 #> 297 Fabianki 0418072 #> 298 Izbica Kujawska 0418083 #> 299 Kowal 0418092 #> 300 Lubanie 0418102 #> 301 Lubień Kujawski 0418113 #> 302 Lubraniec 0418123 #> 303 Włocławek 0418132 #> 304 Barcin 0419013 #> 305 Gąsawa 0419023 #> 306 Janowiec Wielkopolski 0419033 #> 307 Łabiszyn 0419043 #> 308 Rogowo 0419052 #> 309 Żnin 0419063 #> 310 Bydgoszcz 0461011 #> 311 Grudziądz 0462011 #> 312 Toruń 0463011 #> 313 Włocławek 0464011 #> 314 Międzyrzec Podlaski 0601011 #> 315 Terespol 0601021 #> 316 Biała Podlaska 0601032 #> 317 Drelów 0601042 #> 318 Janów Podlaski 0601052 #> 319 Kodeń 0601062 #> 320 Konstantynów 0601072 #> 321 Leśna Podlaska 0601082 #> 322 Łomazy 0601092 #> 323 Międzyrzec Podlaski 0601102 #> 324 Piszczac 0601113 #> 325 Rokitno 0601122 #> 326 Rossosz 0601132 #> 327 Sławatycze 0601142 #> 328 Sosnówka 0601152 #> 329 Terespol 0601162 #> 330 Tuczna 0601172 #> 331 Wisznice 0601182 #> 332 Zalesie 0601192 #> 333 Biłgoraj 0602011 #> 334 Aleksandrów 0602022 #> 335 Biłgoraj 0602032 #> 336 Biszcza 0602042 #> 337 Frampol 0602053 #> 338 Goraj 0602063 #> 339 Józefów 0602073 #> 340 Księżpol 0602082 #> 341 Łukowa 0602092 #> 342 Obsza 0602102 #> 343 Potok Górny 0602112 #> 344 Tarnogród 0602123 #> 345 Tereszpol 0602132 #> 346 Turobin 0602143 #> 347 Rejowiec Fabryczny 0603011 #> 348 Białopole 0603022 #> 349 Chełm 0603032 #> 350 Dorohusk 0603042 #> 351 Dubienka 0603052 #> 352 Kamień 0603062 #> 353 Leśniowice 0603072 #> 354 Rejowiec Fabryczny 0603082 #> 355 Ruda-Huta 0603092 #> 356 Sawin 0603102 #> 357 Siedliszcze 0603113 #> 358 Wierzbica 0603122 #> 359 Wojsławice 0603132 #> 360 Żmudź 0603142 #> 361 Rejowiec 0603153 #> 362 Hrubieszów 0604011 #> 363 Dołhobyczów 0604022 #> 364 Horodło 0604032 #> 365 Hrubieszów 0604042 #> 366 Mircze 0604052 #> 367 Trzeszczany 0604062 #> 368 Uchanie 0604072 #> 369 Werbkowice 0604082 #> 370 Batorz 0605012 #> 371 Chrzanów 0605022 #> 372 Dzwola 0605032 #> 373 Godziszów 0605042 #> 374 Janów Lubelski 0605053 #> 375 Modliborzyce 0605063 #> 376 Potok Wielki 0605072 #> 377 Krasnystaw 0606011 #> 378 Fajsławice 0606022 #> 379 Gorzków 0606032 #> 380 Izbica 0606043 #> 381 Krasnystaw 0606052 #> 382 Kraśniczyn 0606062 #> 383 Łopiennik Górny 0606072 #> 384 Rudnik 0606092 #> 385 Siennica Różana 0606102 #> 386 Żółkiewka 0606112 #> 387 Kraśnik 0607011 #> 388 Annopol 0607023 #> 389 Dzierzkowice 0607032 #> 390 Gościeradów 0607042 #> 391 Kraśnik 0607052 #> 392 Szastarka 0607062 #> 393 Trzydnik Duży 0607072 #> 394 Urzędów 0607083 #> 395 Wilkołaz 0607092 #> 396 Zakrzówek 0607102 #> 397 Lubartów 0608011 #> 398 Abramów 0608022 #> 399 Firlej 0608032 #> 400 Jeziorzany 0608042 #> 401 Kamionka 0608053 #> 402 Kock 0608063 #> 403 Lubartów 0608072 #> 404 Michów 0608082 #> 405 Niedźwiada 0608092 #> 406 Ostrów Lubelski 0608103 #> 407 Ostrówek 0608112 #> 408 Serniki 0608122 #> 409 Uścimów 0608132 #> 410 Bełżyce 0609013 #> 411 Borzechów 0609022 #> 412 Bychawa 0609033 #> 413 Garbów 0609042 #> 414 Głusk 0609052 #> 415 Jabłonna 0609062 #> 416 Jastków 0609072 #> 417 Konopnica 0609082 #> 418 Krzczonów 0609092 #> 419 Niedrzwica Duża 0609102 #> 420 Niemce 0609112 #> 421 Strzyżewice 0609122 #> 422 Wojciechów 0609132 #> 423 Wólka 0609142 #> 424 Wysokie 0609152 #> 425 Zakrzew 0609162 #> 426 Cyców 0610012 #> 427 Ludwin 0610022 #> 428 Łęczna 0610033 #> 429 Milejów 0610042 #> 430 Puchaczów 0610052 #> 431 Spiczyn 0610062 #> 432 Łuków 0611011 #> 433 Stoczek Łukowski 0611021 #> 434 Adamów 0611032 #> 435 Krzywda 0611042 #> 436 Łuków 0611052 #> 437 Serokomla 0611062 #> 438 Stanin 0611072 #> 439 Stoczek Łukowski 0611082 #> 440 Trzebieszów 0611092 #> 441 Wojcieszków 0611102 #> 442 Wola Mysłowska 0611112 #> 443 Chodel 0612012 #> 444 Józefów nad Wisłą 0612023 #> 445 Karczmiska 0612032 #> 446 Łaziska 0612042 #> 447 Opole Lubelskie 0612053 #> 448 Poniatowa 0612063 #> 449 Wilków 0612072 #> 450 Dębowa Kłoda 0613012 #> 451 Jabłoń 0613022 #> 452 Milanów 0613032 #> 453 Parczew 0613043 #> 454 Podedwórze 0613052 #> 455 Siemień 0613062 #> 456 Sosnowica 0613072 #> 457 Puławy 0614011 #> 458 Baranów 0614022 #> 459 Janowiec 0614032 #> 460 Kazimierz Dolny 0614043 #> 461 Końskowola 0614052 #> 462 Kurów 0614062 #> 463 Markuszów 0614072 #> 464 Nałęczów 0614083 #> 465 Puławy 0614092 #> 466 Wąwolnica 0614102 #> 467 Żyrzyn 0614112 #> 468 Radzyń Podlaski 0615011 #> 469 Borki 0615022 #> 470 Czemierniki 0615033 #> 471 Kąkolewnica 0615042 #> 472 Komarówka Podlaska 0615052 #> 473 Radzyń Podlaski 0615062 #> 474 Ulan-Majorat 0615072 #> 475 Wohyń 0615082 #> 476 Dęblin 0616011 #> 477 Kłoczew 0616022 #> 478 Nowodwór 0616032 #> 479 Ryki 0616043 #> 480 Stężyca 0616052 #> 481 Ułęż 0616062 #> 482 Świdnik 0617011 #> 483 Mełgiew 0617022 #> 484 Piaski 0617033 #> 485 Rybczewice 0617042 #> 486 Trawniki 0617052 #> 487 Tomaszów Lubelski 0618011 #> 488 Bełżec 0618022 #> 489 Jarczów 0618032 #> 490 Krynice 0618042 #> 491 Lubycza Królewska 0618053 #> 492 Łaszczów 0618063 #> 493 Rachanie 0618072 #> 494 Susiec 0618082 #> 495 Tarnawatka 0618092 #> 496 Telatyn 0618102 #> 497 Tomaszów Lubelski 0618112 #> 498 Tyszowce 0618123 #> 499 Ulhówek 0618132 #> 500 Włodawa 0619011 #> 501 Hanna 0619022 #> 502 Hańsk 0619032 #> 503 Stary Brus 0619042 #> 504 Urszulin 0619052 #> 505 Włodawa 0619062 #> 506 Wola Uhruska 0619072 #> 507 Wyryki 0619082 #> 508 Adamów 0620012 #> 509 Grabowiec 0620022 #> 510 Komarów-Osada 0620032 #> 511 Krasnobród 0620043 #> 512 Łabunie 0620052 #> 513 Miączyn 0620062 #> 514 Nielisz 0620072 #> 515 Radecznica 0620082 #> 516 Sitno 0620092 #> 517 Skierbieszów 0620102 #> 518 Stary Zamość 0620112 #> 519 Sułów 0620122 #> 520 Szczebrzeszyn 0620133 #> 521 Zamość 0620142 #> 522 Zwierzyniec 0620153 #> 523 Biała Podlaska 0661011 #> 524 Chełm 0662011 #> 525 Lublin 0663011 #> 526 Zamość 0664011 #> 527 Kostrzyn nad Odrą 0801011 #> 528 Bogdaniec 0801022 #> 529 Deszczno 0801032 #> 530 Kłodawa 0801042 #> 531 Lubiszyn 0801052 #> 532 Santok 0801062 #> 533 Witnica 0801073 #> 534 Gubin 0802011 #> 535 Bobrowice 0802022 #> 536 Bytnica 0802032 #> 537 Dąbie 0802042 #> 538 Gubin 0802052 #> 539 Krosno Odrzańskie 0802063 #> 540 Maszewo 0802072 #> 541 Bledzew 0803012 #> 542 Międzyrzecz 0803023 #> 543 Przytoczna 0803032 #> 544 Pszczew 0803042 #> 545 Skwierzyna 0803053 #> 546 Trzciel 0803063 #> 547 Nowa Sól 0804011 #> 548 Bytom Odrzański 0804023 #> 549 Kolsko 0804032 #> 550 Kożuchów 0804043 #> 551 Nowa Sól 0804052 #> 552 Nowe Miasteczko 0804063 #> 553 Otyń 0804073 #> 554 Siedlisko 0804082 #> 555 Cybinka 0805013 #> 556 Górzyca 0805022 #> 557 Ośno Lubuskie 0805033 #> 558 Rzepin 0805043 #> 559 Słubice 0805053 #> 560 Dobiegniew 0806013 #> 561 Drezdenko 0806023 #> 562 Stare Kurowo 0806032 #> 563 Strzelce Krajeńskie 0806043 #> 564 Zwierzyn 0806052 #> 565 Krzeszyce 0807012 #> 566 Lubniewice 0807023 #> 567 Słońsk 0807032 #> 568 Sulęcin 0807043 #> 569 Torzym 0807053 #> 570 Lubrza 0808012 #> 571 Łagów 0808022 #> 572 Skąpe 0808032 #> 573 Szczaniec 0808042 #> 574 Świebodzin 0808053 #> 575 Zbąszynek 0808063 #> 576 Babimost 0809013 #> 577 Bojadła 0809022 #> 578 Czerwieńsk 0809033 #> 579 Kargowa 0809043 #> 580 Nowogród Bobrzański 0809053 #> 581 Sulechów 0809063 #> 582 Świdnica 0809072 #> 583 Trzebiechów 0809082 #> 584 Zabór 0809092 #> 585 Gozdnica 0810011 #> 586 Żagań 0810021 #> 587 Brzeźnica 0810032 #> 588 Iłowa 0810043 #> 589 Małomice 0810053 #> 590 Niegosławice 0810062 #> 591 Szprotawa 0810073 #> 592 Wymiarki 0810082 #> 593 Żagań 0810092 #> 594 Łęknica 0811011 #> 595 Żary 0811021 #> 596 Brody 0811033 #> 597 Jasień 0811043 #> 598 Lipinki Łużyckie 0811052 #> 599 Lubsko 0811063 #> 600 Przewóz 0811072 #> 601 Trzebiel 0811082 #> 602 Tuplice 0811092 #> 603 Żary 0811102 #> 604 Sława 0812013 #> 605 Szlichtyngowa 0812023 #> 606 Wschowa 0812033 #> 607 Gorzów Wielkopolski 0861011 #> 608 Zielona Góra 0862011 #> 609 Bełchatów 1001011 #> 610 Bełchatów 1001022 #> 611 Drużbice 1001032 #> 612 Kleszczów 1001042 #> 613 Kluki 1001052 #> 614 Rusiec 1001062 #> 615 Szczerców 1001072 #> 616 Zelów 1001083 #> 617 Kutno 1002011 #> 618 Bedlno 1002022 #> 619 Dąbrowice 1002033 #> 620 Krośniewice 1002043 #> 621 Krzyżanów 1002052 #> 622 Kutno 1002062 #> 623 Łanięta 1002072 #> 624 Nowe Ostrowy 1002082 #> 625 Oporów 1002092 #> 626 Strzelce 1002102 #> 627 Żychlin 1002113 #> 628 Buczek 1003012 #> 629 Łask 1003023 #> 630 Sędziejowice 1003032 #> 631 Widawa 1003042 #> 632 Wodzierady 1003052 #> 633 Łęczyca 1004011 #> 634 Daszyna 1004022 #> 635 Góra Świętej Małgorzaty 1004032 #> 636 Grabów 1004043 #> 637 Łęczyca 1004052 #> 638 Piątek 1004063 #> 639 Świnice Warckie 1004072 #> 640 Witonia 1004082 #> 641 Łowicz 1005011 #> 642 Bielawy 1005022 #> 643 Chąśno 1005032 #> 644 Domaniewice 1005042 #> 645 Kiernozia 1005053 #> 646 Kocierzew Południowy 1005062 #> 647 Łowicz 1005072 #> 648 Łyszkowice 1005082 #> 649 Nieborów 1005092 #> 650 Zduny 1005102 #> 651 Andrespol 1006022 #> 652 Brójce 1006032 #> 653 Koluszki 1006073 #> 654 Nowosolna 1006082 #> 655 Rzgów 1006103 #> 656 Tuszyn 1006113 #> 657 Białaczów 1007013 #> 658 Drzewica 1007023 #> 659 Mniszków 1007032 #> 660 Opoczno 1007043 #> 661 Paradyż 1007052 #> 662 Poświętne 1007062 #> 663 Sławno 1007072 #> 664 Żarnów 1007083 #> 665 Konstantynów Łódzki 1008011 #> 666 Pabianice 1008021 #> 667 Dłutów 1008032 #> 668 Dobroń 1008042 #> 669 Ksawerów 1008052 #> 670 Lutomiersk 1008063 #> 671 Pabianice 1008072 #> 672 Działoszyn 1009013 #> 673 Kiełczygłów 1009022 #> 674 Nowa Brzeźnica 1009032 #> 675 Pajęczno 1009043 #> 676 Rząśnia 1009052 #> 677 Siemkowice 1009062 #> 678 Strzelce Wielkie 1009072 #> 679 Sulmierzyce 1009082 #> 680 Aleksandrów 1010012 #> 681 Czarnocin 1010022 #> 682 Gorzkowice 1010032 #> 683 Grabica 1010042 #> 684 Łęki Szlacheckie 1010052 #> 685 Moszczenica 1010062 #> 686 Ręczno 1010072 #> 687 Rozprza 1010083 #> 688 Sulejów 1010093 #> 689 Wola Krzysztoporska 1010102 #> 690 Wolbórz 1010113 #> 691 Dalików 1011012 #> 692 Pęczniew 1011022 #> 693 Poddębice 1011033 #> 694 Uniejów 1011043 #> 695 Wartkowice 1011052 #> 696 Zadzim 1011062 #> 697 Radomsko 1012011 #> 698 Dobryszyce 1012022 #> 699 Gidle 1012032 #> 700 Gomunice 1012042 #> 701 Kamieńsk 1012053 #> 702 Kobiele Wielkie 1012062 #> 703 Kodrąb 1012072 #> 704 Lgota Wielka 1012082 #> 705 Ładzice 1012092 #> 706 Masłowice 1012102 #> 707 Przedbórz 1012113 #> 708 Radomsko 1012122 #> 709 Wielgomłyny 1012132 #> 710 Żytno 1012142 #> 711 Rawa Mazowiecka 1013011 #> 712 Biała Rawska 1013023 #> 713 Cielądz 1013032 #> 714 Rawa Mazowiecka 1013042 #> 715 Regnów 1013052 #> 716 Sadkowice 1013062 #> 717 Sieradz 1014011 #> 718 Błaszki 1014023 #> 719 Brąszewice 1014032 #> 720 Brzeźnio 1014042 #> 721 Burzenin 1014052 #> 722 Goszczanów 1014062 #> 723 Klonowa 1014072 #> 724 Sieradz 1014082 #> 725 Warta 1014093 #> 726 Wróblew 1014102 #> 727 Złoczew 1014113 #> 728 Bolimów 1015013 #> 729 Głuchów 1015022 #> 730 Godzianów 1015032 #> 731 Kowiesy 1015042 #> 732 Lipce Reymontowskie 1015052 #> 733 Maków 1015062 #> 734 Nowy Kawęczyn 1015072 #> 735 Skierniewice 1015082 #> 736 Słupia 1015092 #> 737 Tomaszów Mazowiecki 1016011 #> 738 Będków 1016022 #> 739 Budziszewice 1016032 #> 740 Czerniewice 1016042 #> 741 Inowłódz 1016053 #> 742 Lubochnia 1016062 #> 743 Rokiciny 1016072 #> 744 Rzeczyca 1016082 #> 745 Tomaszów Mazowiecki 1016092 #> 746 Ujazd 1016103 #> 747 Żelechlinek 1016112 #> 748 Biała 1017012 #> 749 Czarnożyły 1017022 #> 750 Konopnica 1017032 #> 751 Mokrsko 1017042 #> 752 Osjaków 1017053 #> 753 Ostrówek 1017062 #> 754 Pątnów 1017072 #> 755 Skomlin 1017082 #> 756 Wieluń 1017093 #> 757 Wierzchlas 1017102 #> 758 Bolesławiec 1018013 #> 759 Czastary 1018022 #> 760 Galewice 1018032 #> 761 Lututów 1018043 #> 762 Łubnice 1018052 #> 763 Sokolniki 1018062 #> 764 Wieruszów 1018073 #> 765 Zduńska Wola 1019011 #> 766 Szadek 1019023 #> 767 Zapolice 1019032 #> 768 Zduńska Wola 1019042 #> 769 Głowno 1020011 #> 770 Ozorków 1020021 #> 771 Zgierz 1020031 #> 772 Aleksandrów Łódzki 1020043 #> 773 Głowno 1020052 #> 774 Ozorków 1020062 #> 775 Parzęczew 1020073 #> 776 Stryków 1020083 #> 777 Zgierz 1020092 #> 778 Brzeziny 1021011 #> 779 Brzeziny 1021022 #> 780 Dmosin 1021032 #> 781 Jeżów 1021043 #> 782 Rogów 1021052 #> 783 Łódź 1061011 #> 784 Piotrków Trybunalski 1062011 #> 785 Skierniewice 1063011 #> 786 Bochnia 1201011 #> 787 Bochnia 1201022 #> 788 Drwinia 1201032 #> 789 Lipnica Murowana 1201042 #> 790 Łapanów 1201052 #> 791 Nowy Wiśnicz 1201063 #> 792 Rzezawa 1201072 #> 793 Trzciana 1201082 #> 794 Żegocina 1201092 #> 795 Borzęcin 1202012 #> 796 Brzesko 1202023 #> 797 Czchów 1202033 #> 798 Dębno 1202042 #> 799 Gnojnik 1202052 #> 800 Iwkowa 1202062 #> 801 Szczurowa 1202072 #> 802 Alwernia 1203013 #> 803 Babice 1203022 #> 804 Chrzanów 1203033 #> 805 Libiąż 1203043 #> 806 Trzebinia 1203053 #> 807 Bolesław 1204012 #> 808 Dąbrowa Tarnowska 1204023 #> 809 Gręboszów 1204032 #> 810 Mędrzechów 1204042 #> 811 Olesno 1204052 #> 812 Radgoszcz 1204062 #> 813 Szczucin 1204073 #> 814 Gorlice 1205011 #> 815 Biecz 1205023 #> 816 Bobowa 1205033 #> 817 Gorlice 1205042 #> 818 Lipinki 1205052 #> 819 Łużna 1205062 #> 820 Moszczenica 1205072 #> 821 Ropa 1205082 #> 822 Sękowa 1205092 #> 823 Uście Gorlickie 1205102 #> 824 Czernichów 1206012 #> 825 Igołomia-Wawrzeńczyce 1206022 #> 826 Iwanowice 1206032 #> 827 Jerzmanowice-Przeginia 1206042 #> 828 Kocmyrzów-Luborzyca 1206052 #> 829 Krzeszowice 1206063 #> 830 Liszki 1206072 #> 831 Michałowice 1206082 #> 832 Mogilany 1206092 #> 833 Skała 1206103 #> 834 Skawina 1206113 #> 835 Słomniki 1206123 #> 836 Sułoszowa 1206132 #> 837 Świątniki Górne 1206143 #> 838 Wielka Wieś 1206152 #> 839 Zabierzów 1206162 #> 840 Zielonki 1206172 #> 841 Limanowa 1207011 #> 842 Mszana Dolna 1207021 #> 843 Dobra 1207032 #> 844 Jodłownik 1207042 #> 845 Kamienica 1207052 #> 846 Laskowa 1207062 #> 847 Limanowa 1207072 #> 848 Łukowica 1207082 #> 849 Mszana Dolna 1207092 #> 850 Niedźwiedź 1207102 #> 851 Słopnice 1207112 #> 852 Tymbark 1207122 #> 853 Charsznica 1208012 #> 854 Gołcza 1208022 #> 855 Kozłów 1208032 #> 856 Książ Wielki 1208043 #> 857 Miechów 1208053 #> 858 Racławice 1208062 #> 859 Słaboszów 1208072 #> 860 Dobczyce 1209013 #> 861 Lubień 1209022 #> 862 Myślenice 1209033 #> 863 Pcim 1209042 #> 864 Raciechowice 1209052 #> 865 Siepraw 1209062 #> 866 Sułkowice 1209073 #> 867 Tokarnia 1209082 #> 868 Wiśniowa 1209092 #> 869 Grybów 1210011 #> 870 Chełmiec 1210022 #> 871 Gródek nad Dunajcem 1210032 #> 872 Grybów 1210042 #> 873 Kamionka Wielka 1210052 #> 874 Korzenna 1210062 #> 875 Krynica-Zdrój 1210073 #> 876 Łabowa 1210082 #> 877 Łącko 1210092 #> 878 Łososina Dolna 1210102 #> 879 Muszyna 1210113 #> 880 Nawojowa 1210122 #> 881 Piwniczna-Zdrój 1210133 #> 882 Podegrodzie 1210142 #> 883 Rytro 1210152 #> 884 Stary Sącz 1210163 #> 885 Nowy Targ 1211011 #> 886 Szczawnica 1211023 #> 887 Czarny Dunajec 1211033 #> 888 Czorsztyn 1211042 #> 889 Jabłonka 1211052 #> 890 Krościenko nad Dunajcem 1211062 #> 891 Lipnica Wielka 1211072 #> 892 Łapsze Niżne 1211082 #> 893 Nowy Targ 1211092 #> 894 Ochotnica Dolna 1211102 #> 895 Raba Wyżna 1211112 #> 896 Rabka-Zdrój 1211123 #> 897 Spytkowice 1211132 #> 898 Szaflary 1211142 #> 899 Bukowno 1212011 #> 900 Bolesław 1212032 #> 901 Klucze 1212042 #> 902 Olkusz 1212053 #> 903 Trzyciąż 1212062 #> 904 Wolbrom 1212073 #> 905 Oświęcim 1213011 #> 906 Brzeszcze 1213023 #> 907 Chełmek 1213033 #> 908 Kęty 1213043 #> 909 Osiek 1213052 #> 910 Oświęcim 1213062 #> 911 Polanka Wielka 1213072 #> 912 Przeciszów 1213082 #> 913 Zator 1213093 #> 914 Koniusza 1214012 #> 915 Koszyce 1214023 #> 916 Nowe Brzesko 1214033 #> 917 Pałecznica 1214042 #> 918 Proszowice 1214053 #> 919 Radziemice 1214062 #> 920 Jordanów 1215011 #> 921 Sucha Beskidzka 1215021 #> 922 Budzów 1215032 #> 923 Bystra-Sidzina 1215042 #> 924 Jordanów 1215052 #> 925 Maków Podhalański 1215063 #> 926 Stryszawa 1215072 #> 927 Zawoja 1215082 #> 928 Zembrzyce 1215092 #> 929 Ciężkowice 1216013 #> 930 Gromnik 1216022 #> 931 Lisia Góra 1216032 #> 932 Pleśna 1216042 #> 933 Radłów 1216053 #> 934 Ryglice 1216063 #> 935 Rzepiennik Strzyżewski 1216072 #> 936 Skrzyszów 1216082 #> 937 Tarnów 1216092 #> 938 Tuchów 1216103 #> 939 Wierzchosławice 1216112 #> 940 Wietrzychowice 1216122 #> 941 Wojnicz 1216133 #> 942 Zakliczyn 1216143 #> 943 Żabno 1216153 #> 944 Szerzyny 1216162 #> 945 Zakopane 1217011 #> 946 Biały Dunajec 1217022 #> 947 Bukowina Tatrzańska 1217032 #> 948 Kościelisko 1217042 #> 949 Poronin 1217052 #> 950 Andrychów 1218013 #> 951 Brzeźnica 1218022 #> 952 Kalwaria Zebrzydowska 1218033 #> 953 Lanckorona 1218042 #> 954 Mucharz 1218052 #> 955 Spytkowice 1218062 #> 956 Stryszów 1218072 #> 957 Tomice 1218082 #> 958 Wadowice 1218093 #> 959 Wieprz 1218102 #> 960 Biskupice 1219012 #> 961 Gdów 1219022 #> 962 Kłaj 1219032 #> 963 Niepołomice 1219043 #> 964 Wieliczka 1219053 #> 965 Kraków 1261011 #> 966 Nowy Sącz 1262011 #> 967 Tarnów 1263011 #> 968 Białobrzegi 1401013 #> 969 Promna 1401022 #> 970 Radzanów 1401032 #> 971 Stara Błotnica 1401042 #> 972 Stromiec 1401052 #> 973 Wyśmierzyce 1401063 #> 974 Ciechanów 1402011 #> 975 Ciechanów 1402022 #> 976 Glinojeck 1402033 #> 977 Gołymin-Ośrodek 1402042 #> 978 Grudusk 1402052 #> 979 Ojrzeń 1402062 #> 980 Opinogóra Górna 1402072 #> 981 Regimin 1402082 #> 982 Sońsk 1402092 #> 983 Garwolin 1403011 #> 984 Łaskarzew 1403021 #> 985 Borowie 1403032 #> 986 Garwolin 1403042 #> 987 Górzno 1403052 #> 988 Łaskarzew 1403062 #> 989 Maciejowice 1403073 #> 990 Miastków Kościelny 1403082 #> 991 Parysów 1403092 #> 992 Pilawa 1403103 #> 993 Sobolew 1403112 #> 994 Trojanów 1403122 #> 995 Wilga 1403132 #> 996 Żelechów 1403143 #> 997 Gostynin 1404011 #> 998 Gostynin 1404022 #> 999 Pacyna 1404032 #> 1000 Sanniki 1404043 #> 1001 Szczawin Kościelny 1404052 #> 1002 Milanówek 1405011 #> 1003 Podkowa Leśna 1405021 #> 1004 Baranów 1405032 #> 1005 Grodzisk Mazowiecki 1405043 #> 1006 Jaktorów 1405052 #> 1007 Żabia Wola 1405062 #> 1008 Belsk Duży 1406012 #> 1009 Błędów 1406022 #> 1010 Chynów 1406032 #> 1011 Goszczyn 1406042 #> 1012 Grójec 1406053 #> 1013 Jasieniec 1406062 #> 1014 Mogielnica 1406073 #> 1015 Nowe Miasto nad Pilicą 1406083 #> 1016 Pniewy 1406092 #> 1017 Warka 1406113 #> 1018 Garbatka-Letnisko 1407012 #> 1019 Głowaczów 1407023 #> 1020 Gniewoszów 1407032 #> 1021 Grabów nad Pilicą 1407042 #> 1022 Kozienice 1407053 #> 1023 Magnuszew 1407063 #> 1024 Sieciechów 1407072 #> 1025 Legionowo 1408011 #> 1026 Jabłonna 1408022 #> 1027 Nieporęt 1408032 #> 1028 Serock 1408043 #> 1029 Wieliszew 1408052 #> 1030 Chotcza 1409012 #> 1031 Ciepielów 1409023 #> 1032 Lipsko 1409033 #> 1033 Rzeczniów 1409042 #> 1034 Sienno 1409053 #> 1035 Solec nad Wisłą 1409063 #> 1036 Huszlew 1410012 #> 1037 Łosice 1410023 #> 1038 Olszanka 1410032 #> 1039 Platerów 1410042 #> 1040 Sarnaki 1410052 #> 1041 Stara Kornica 1410062 #> 1042 Maków Mazowiecki 1411011 #> 1043 Czerwonka 1411022 #> 1044 Karniewo 1411032 #> 1045 Krasnosielc 1411042 #> 1046 Młynarze 1411052 #> 1047 Płoniawy-Bramura 1411062 #> 1048 Różan 1411073 #> 1049 Rzewnie 1411082 #> 1050 Sypniewo 1411092 #> 1051 Szelków 1411102 #> 1052 Mińsk Mazowiecki 1412011 #> 1053 Cegłów 1412043 #> 1054 Dębe Wielkie 1412052 #> 1055 Dobre 1412063 #> 1056 Halinów 1412073 #> 1057 Jakubów 1412082 #> 1058 Kałuszyn 1412093 #> 1059 Latowicz 1412103 #> 1060 Mińsk Mazowiecki 1412112 #> 1061 Mrozy 1412123 #> 1062 Siennica 1412133 #> 1063 Stanisławów 1412142 #> 1064 Sulejówek 1412151 #> 1065 Mława 1413011 #> 1066 Dzierzgowo 1413022 #> 1067 Lipowiec Kościelny 1413032 #> 1068 Radzanów 1413042 #> 1069 Strzegowo 1413052 #> 1070 Stupsk 1413062 #> 1071 Szreńsk 1413072 #> 1072 Szydłowo 1413082 #> 1073 Wieczfnia Kościelna 1413092 #> 1074 Wiśniewo 1413102 #> 1075 Nowy Dwór Mazowiecki 1414011 #> 1076 Czosnów 1414022 #> 1077 Leoncin 1414032 #> 1078 Nasielsk 1414043 #> 1079 Pomiechówek 1414052 #> 1080 Zakroczym 1414063 #> 1081 Baranowo 1415012 #> 1082 Czarnia 1415022 #> 1083 Czerwin 1415032 #> 1084 Goworowo 1415042 #> 1085 Kadzidło 1415052 #> 1086 Lelis 1415062 #> 1087 Łyse 1415072 #> 1088 Myszyniec 1415083 #> 1089 Olszewo-Borki 1415092 #> 1090 Rzekuń 1415102 #> 1091 Troszyn 1415112 #> 1092 Ostrów Mazowiecka 1416011 #> 1093 Andrzejewo 1416022 #> 1094 Boguty-Pianki 1416032 #> 1095 Brok 1416043 #> 1096 Małkinia Górna 1416052 #> 1097 Nur 1416062 #> 1098 Ostrów Mazowiecka 1416072 #> 1099 Stary Lubotyń 1416082 #> 1100 Szulborze Wielkie 1416092 #> 1101 Wąsewo 1416102 #> 1102 Zaręby Kościelne 1416112 #> 1103 Józefów 1417011 #> 1104 Otwock 1417021 #> 1105 Celestynów 1417032 #> 1106 Karczew 1417043 #> 1107 Kołbiel 1417052 #> 1108 Osieck 1417063 #> 1109 Sobienie-Jeziory 1417072 #> 1110 Wiązowna 1417082 #> 1111 Góra Kalwaria 1418013 #> 1112 Konstancin-Jeziorna 1418023 #> 1113 Lesznowola 1418032 #> 1114 Piaseczno 1418043 #> 1115 Prażmów 1418052 #> 1116 Tarczyn 1418063 #> 1117 Bielsk 1419012 #> 1118 Bodzanów 1419023 #> 1119 Brudzeń Duży 1419032 #> 1120 Bulkowo 1419042 #> 1121 Drobin 1419053 #> 1122 Gąbin 1419063 #> 1123 Łąck 1419072 #> 1124 Mała Wieś 1419082 #> 1125 Nowy Duninów 1419092 #> 1126 Radzanowo 1419102 #> 1127 Słubice 1419112 #> 1128 Słupno 1419122 #> 1129 Stara Biała 1419132 #> 1130 Staroźreby 1419142 #> 1131 Wyszogród 1419153 #> 1132 Płońsk 1420011 #> 1133 Raciąż 1420021 #> 1134 Baboszewo 1420032 #> 1135 Czerwińsk nad Wisłą 1420043 #> 1136 Dzierzążnia 1420052 #> 1137 Joniec 1420062 #> 1138 Naruszewo 1420072 #> 1139 Nowe Miasto 1420083 #> 1140 Płońsk 1420092 #> 1141 Raciąż 1420102 #> 1142 Sochocin 1420113 #> 1143 Załuski 1420122 #> 1144 Piastów 1421011 #> 1145 Pruszków 1421021 #> 1146 Brwinów 1421033 #> 1147 Michałowice 1421042 #> 1148 Nadarzyn 1421052 #> 1149 Raszyn 1421062 #> 1150 Przasnysz 1422011 #> 1151 Chorzele 1422023 #> 1152 Czernice Borowe 1422032 #> 1153 Jednorożec 1422042 #> 1154 Krasne 1422052 #> 1155 Krzynowłoga Mała 1422062 #> 1156 Przasnysz 1422072 #> 1157 Borkowice 1423012 #> 1158 Gielniów 1423023 #> 1159 Klwów 1423032 #> 1160 Odrzywół 1423043 #> 1161 Potworów 1423052 #> 1162 Przysucha 1423063 #> 1163 Rusinów 1423072 #> 1164 Wieniawa 1423082 #> 1165 Gzy 1424012 #> 1166 Obryte 1424022 #> 1167 Pokrzywnica 1424032 #> 1168 Pułtusk 1424043 #> 1169 Świercze 1424052 #> 1170 Winnica 1424062 #> 1171 Zatory 1424072 #> 1172 Pionki 1425011 #> 1173 Gózd 1425022 #> 1174 Iłża 1425033 #> 1175 Jastrzębia 1425042 #> 1176 Jedlińsk 1425052 #> 1177 Jedlnia-Letnisko 1425063 #> 1178 Kowala 1425072 #> 1179 Pionki 1425082 #> 1180 Przytyk 1425093 #> 1181 Skaryszew 1425103 #> 1182 Wierzbica 1425112 #> 1183 Wolanów 1425122 #> 1184 Zakrzew 1425132 #> 1185 Domanice 1426012 #> 1186 Korczew 1426022 #> 1187 Kotuń 1426032 #> 1188 Mokobody 1426042 #> 1189 Mordy 1426053 #> 1190 Paprotnia 1426062 #> 1191 Przesmyki 1426072 #> 1192 Siedlce 1426082 #> 1193 Skórzec 1426092 #> 1194 Suchożebry 1426102 #> 1195 Wiśniew 1426112 #> 1196 Wodynie 1426122 #> 1197 Zbuczyn 1426132 #> 1198 Sierpc 1427011 #> 1199 Gozdowo 1427022 #> 1200 Mochowo 1427032 #> 1201 Rościszewo 1427042 #> 1202 Sierpc 1427052 #> 1203 Szczutowo 1427062 #> 1204 Zawidz 1427072 #> 1205 Sochaczew 1428011 #> 1206 Brochów 1428022 #> 1207 Iłów 1428032 #> 1208 Młodzieszyn 1428042 #> 1209 Nowa Sucha 1428052 #> 1210 Rybno 1428062 #> 1211 Sochaczew 1428072 #> 1212 Teresin 1428082 #> 1213 Sokołów Podlaski 1429011 #> 1214 Bielany 1429022 #> 1215 Ceranów 1429032 #> 1216 Jabłonna Lacka 1429042 #> 1217 Kosów Lacki 1429053 #> 1218 Repki 1429062 #> 1219 Sabnie 1429072 #> 1220 Sokołów Podlaski 1429082 #> 1221 Sterdyń 1429092 #> 1222 Chlewiska 1430012 #> 1223 Jastrząb 1430023 #> 1224 Mirów 1430032 #> 1225 Orońsko 1430042 #> 1226 Szydłowiec 1430053 #> 1227 Błonie 1432013 #> 1228 Izabelin 1432022 #> 1229 Kampinos 1432032 #> 1230 Leszno 1432042 #> 1231 Łomianki 1432053 #> 1232 Ożarów Mazowiecki 1432063 #> 1233 Stare Babice 1432072 #> 1234 Węgrów 1433011 #> 1235 Grębków 1433022 #> 1236 Korytnica 1433032 #> 1237 Liw 1433042 #> 1238 Łochów 1433053 #> 1239 Miedzna 1433062 #> 1240 Sadowne 1433072 #> 1241 Stoczek 1433082 #> 1242 Wierzbno 1433092 #> 1243 Kobyłka 1434011 #> 1244 Marki 1434021 #> 1245 Ząbki 1434031 #> 1246 Zielonka 1434041 #> 1247 Dąbrówka 1434052 #> 1248 Jadów 1434063 #> 1249 Klembów 1434072 #> 1250 Poświętne 1434082 #> 1251 Radzymin 1434093 #> 1252 Strachówka 1434102 #> 1253 Tłuszcz 1434113 #> 1254 Wołomin 1434123 #> 1255 Brańszczyk 1435012 #> 1256 Długosiodło 1435022 #> 1257 Rząśnik 1435032 #> 1258 Somianka 1435042 #> 1259 Wyszków 1435053 #> 1260 Zabrodzie 1435062 #> 1261 Kazanów 1436012 #> 1262 Policzna 1436022 #> 1263 Przyłęk 1436032 #> 1264 Tczów 1436042 #> 1265 Zwoleń 1436053 #> 1266 Bieżuń 1437013 #> 1267 Kuczbork-Osada 1437022 #> 1268 Lubowidz 1437033 #> 1269 Lutocin 1437042 #> 1270 Siemiątkowo 1437052 #> 1271 Żuromin 1437063 #> 1272 Żyrardów 1438011 #> 1273 Mszczonów 1438023 #> 1274 Puszcza Mariańska 1438032 #> 1275 Radziejowice 1438042 #> 1276 Wiskitki 1438053 #> 1277 Ostrołęka 1461011 #> 1278 Płock 1462011 #> 1279 Radom 1463011 #> 1280 Siedlce 1464011 #> 1281 Warszawa 1465011 #> 1282 Brzeg 1601011 #> 1283 Skarbimierz 1601022 #> 1284 Grodków 1601033 #> 1285 Lewin Brzeski 1601043 #> 1286 Lubsza 1601052 #> 1287 Olszanka 1601062 #> 1288 Baborów 1602013 #> 1289 Branice 1602022 #> 1290 Głubczyce 1602033 #> 1291 Kietrz 1602043 #> 1292 Kędzierzyn-Koźle 1603011 #> 1293 Bierawa 1603022 #> 1294 Cisek 1603032 #> 1295 Pawłowiczki 1603042 #> 1296 Polska Cerekiew 1603052 #> 1297 Reńska Wieś 1603062 #> 1298 Byczyna 1604013 #> 1299 Kluczbork 1604023 #> 1300 Lasowice Wielkie 1604032 #> 1301 Wołczyn 1604043 #> 1302 Gogolin 1605013 #> 1303 Krapkowice 1605023 #> 1304 Strzeleczki 1605033 #> 1305 Walce 1605042 #> 1306 Zdzieszowice 1605053 #> 1307 Domaszowice 1606012 #> 1308 Namysłów 1606023 #> 1309 Pokój 1606032 #> 1310 Świerczów 1606042 #> 1311 Wilków 1606052 #> 1312 Głuchołazy 1607013 #> 1313 Kamiennik 1607022 #> 1314 Korfantów 1607033 #> 1315 Łambinowice 1607042 #> 1316 Nysa 1607053 #> 1317 Otmuchów 1607063 #> 1318 Paczków 1607073 #> 1319 Pakosławice 1607082 #> 1320 Skoroszyce 1607092 #> 1321 Dobrodzień 1608013 #> 1322 Gorzów Śląski 1608023 #> 1323 Olesno 1608033 #> 1324 Praszka 1608043 #> 1325 Radłów 1608052 #> 1326 Rudniki 1608062 #> 1327 Zębowice 1608072 #> 1328 Chrząstowice 1609012 #> 1329 Dąbrowa 1609022 #> 1330 Dobrzeń Wielki 1609032 #> 1331 Komprachcice 1609042 #> 1332 Łubniany 1609052 #> 1333 Murów 1609062 #> 1334 Niemodlin 1609073 #> 1335 Ozimek 1609083 #> 1336 Popielów 1609092 #> 1337 Prószków 1609103 #> 1338 Tarnów Opolski 1609112 #> 1339 Tułowice 1609123 #> 1340 Turawa 1609132 #> 1341 Biała 1610013 #> 1342 Głogówek 1610023 #> 1343 Lubrza 1610032 #> 1344 Prudnik 1610043 #> 1345 Izbicko 1611012 #> 1346 Jemielnica 1611022 #> 1347 Kolonowskie 1611033 #> 1348 Leśnica 1611043 #> 1349 Strzelce Opolskie 1611053 #> 1350 Ujazd 1611063 #> 1351 Zawadzkie 1611073 #> 1352 Opole 1661011 #> 1353 Czarna 1801032 #> 1354 Lutowiska 1801052 #> 1355 Ustrzyki Dolne 1801083 #> 1356 Brzozów 1802013 #> 1357 Domaradz 1802022 #> 1358 Dydnia 1802032 #> 1359 Haczów 1802042 #> 1360 Jasienica Rosielna 1802052 #> 1361 Nozdrzec 1802062 #> 1362 Dębica 1803011 #> 1363 Brzostek 1803023 #> 1364 Czarna 1803032 #> 1365 Dębica 1803042 #> 1366 Jodłowa 1803052 #> 1367 Pilzno 1803063 #> 1368 Żyraków 1803072 #> 1369 Jarosław 1804011 #> 1370 Radymno 1804021 #> 1371 Chłopice 1804032 #> 1372 Jarosław 1804042 #> 1373 Laszki 1804052 #> 1374 Pawłosiów 1804062 #> 1375 Pruchnik 1804073 #> 1376 Radymno 1804082 #> 1377 Rokietnica 1804092 #> 1378 Roźwienica 1804102 #> 1379 Wiązownica 1804112 #> 1380 Jasło 1805011 #> 1381 Brzyska 1805022 #> 1382 Dębowiec 1805032 #> 1383 Jasło 1805042 #> 1384 Kołaczyce 1805053 #> 1385 Krempna 1805062 #> 1386 Nowy Żmigród 1805072 #> 1387 Osiek Jasielski 1805082 #> 1388 Skołyszyn 1805092 #> 1389 Tarnowiec 1805112 #> 1390 Cmolas 1806012 #> 1391 Kolbuszowa 1806023 #> 1392 Majdan Królewski 1806032 #> 1393 Niwiska 1806042 #> 1394 Raniżów 1806052 #> 1395 Dzikowiec 1806062 #> 1396 Chorkówka 1807012 #> 1397 Dukla 1807023 #> 1398 Iwonicz-Zdrój 1807033 #> 1399 Jedlicze 1807043 #> 1400 Korczyna 1807052 #> 1401 Krościenko Wyżne 1807062 #> 1402 Miejsce Piastowe 1807072 #> 1403 Rymanów 1807083 #> 1404 Wojaszówka 1807092 #> 1405 Jaśliska 1807102 #> 1406 Leżajsk 1808011 #> 1407 Grodzisko Dolne 1808022 #> 1408 Kuryłówka 1808032 #> 1409 Leżajsk 1808042 #> 1410 Nowa Sarzyna 1808053 #> 1411 Lubaczów 1809011 #> 1412 Cieszanów 1809023 #> 1413 Horyniec-Zdrój 1809032 #> 1414 Lubaczów 1809042 #> 1415 Narol 1809053 #> 1416 Oleszyce 1809063 #> 1417 Stary Dzików 1809072 #> 1418 Wielkie Oczy 1809082 #> 1419 Łańcut 1810011 #> 1420 Białobrzegi 1810022 #> 1421 Czarna 1810032 #> 1422 Łańcut 1810042 #> 1423 Markowa 1810052 #> 1424 Rakszawa 1810062 #> 1425 Żołynia 1810072 #> 1426 Mielec 1811011 #> 1427 Borowa 1811022 #> 1428 Czermin 1811032 #> 1429 Gawłuszowice 1811042 #> 1430 Mielec 1811052 #> 1431 Padew Narodowa 1811062 #> 1432 Przecław 1811073 #> 1433 Radomyśl Wielki 1811083 #> 1434 Tuszów Narodowy 1811092 #> 1435 Wadowice Górne 1811102 #> 1436 Harasiuki 1812012 #> 1437 Jarocin 1812022 #> 1438 Jeżowe 1812032 #> 1439 Krzeszów 1812042 #> 1440 Nisko 1812053 #> 1441 Rudnik nad Sanem 1812063 #> 1442 Ulanów 1812073 #> 1443 Bircza 1813013 #> 1444 Dubiecko 1813023 #> 1445 Fredropol 1813032 #> 1446 Krasiczyn 1813042 #> 1447 Krzywcza 1813052 #> 1448 Medyka 1813062 #> 1449 Orły 1813072 #> 1450 Przemyśl 1813082 #> 1451 Stubno 1813092 #> 1452 Żurawica 1813102 #> 1453 Przeworsk 1814011 #> 1454 Adamówka 1814022 #> 1455 Gać 1814032 #> 1456 Jawornik Polski 1814043 #> 1457 Kańczuga 1814053 #> 1458 Przeworsk 1814062 #> 1459 Sieniawa 1814073 #> 1460 Tryńcza 1814082 #> 1461 Zarzecze 1814092 #> 1462 Iwierzyce 1815012 #> 1463 Ostrów 1815022 #> 1464 Ropczyce 1815033 #> 1465 Sędziszów Małopolski 1815043 #> 1466 Wielopole Skrzyńskie 1815052 #> 1467 Dynów 1816011 #> 1468 Błażowa 1816023 #> 1469 Boguchwała 1816033 #> 1470 Chmielnik 1816042 #> 1471 Dynów 1816052 #> 1472 Głogów Małopolski 1816063 #> 1473 Hyżne 1816072 #> 1474 Kamień 1816082 #> 1475 Krasne 1816092 #> 1476 Lubenia 1816102 #> 1477 Sokołów Małopolski 1816113 #> 1478 Świlcza 1816122 #> 1479 Trzebownisko 1816132 #> 1480 Tyczyn 1816143 #> 1481 Sanok 1817011 #> 1482 Besko 1817022 #> 1483 Bukowsko 1817032 #> 1484 Komańcza 1817042 #> 1485 Sanok 1817052 #> 1486 Tyrawa Wołoska 1817062 #> 1487 Zagórz 1817073 #> 1488 Zarszyn 1817082 #> 1489 Stalowa Wola 1818011 #> 1490 Bojanów 1818022 #> 1491 Pysznica 1818032 #> 1492 Radomyśl nad Sanem 1818042 #> 1493 Zaklików 1818053 #> 1494 Zaleszany 1818062 #> 1495 Czudec 1819012 #> 1496 Frysztak 1819022 #> 1497 Niebylec 1819032 #> 1498 Strzyżów 1819043 #> 1499 Wiśniowa 1819052 #> 1500 Baranów Sandomierski 1820013 #> 1501 Gorzyce 1820022 #> 1502 Grębów 1820032 #> 1503 Nowa Dęba 1820043 #> 1504 Baligród 1821012 #> 1505 Cisna 1821022 #> 1506 Lesko 1821033 #> 1507 Olszanica 1821042 #> 1508 Solina 1821052 #> 1509 Krosno 1861011 #> 1510 Przemyśl 1862011 #> 1511 Rzeszów 1863011 #> 1512 Tarnobrzeg 1864011 #> 1513 Augustów 2001011 #> 1514 Augustów 2001022 #> 1515 Bargłów Kościelny 2001032 #> 1516 Lipsk 2001043 #> 1517 Nowinka 2001052 #> 1518 Płaska 2001062 #> 1519 Sztabin 2001072 #> 1520 Choroszcz 2002013 #> 1521 Czarna Białostocka 2002023 #> 1522 Dobrzyniewo Duże 2002032 #> 1523 Gródek 2002042 #> 1524 Juchnowiec Kościelny 2002052 #> 1525 Łapy 2002063 #> 1526 Michałowo 2002073 #> 1527 Poświętne 2002082 #> 1528 Supraśl 2002093 #> 1529 Suraż 2002103 #> 1530 Turośń Kościelna 2002112 #> 1531 Tykocin 2002123 #> 1532 Wasilków 2002133 #> 1533 Zabłudów 2002143 #> 1534 Zawady 2002152 #> 1535 Bielsk Podlaski 2003011 #> 1536 Brańsk 2003021 #> 1537 Bielsk Podlaski 2003032 #> 1538 Boćki 2003042 #> 1539 Brańsk 2003052 #> 1540 Orla 2003062 #> 1541 Rudka 2003072 #> 1542 Wyszki 2003082 #> 1543 Grajewo 2004011 #> 1544 Grajewo 2004022 #> 1545 Radziłów 2004032 #> 1546 Rajgród 2004043 #> 1547 Szczuczyn 2004053 #> 1548 Wąsosz 2004062 #> 1549 Hajnówka 2005011 #> 1550 Białowieża 2005022 #> 1551 Czeremcha 2005032 #> 1552 Czyże 2005042 #> 1553 Dubicze Cerkiewne 2005052 #> 1554 Hajnówka 2005062 #> 1555 Kleszczele 2005073 #> 1556 Narew 2005082 #> 1557 Narewka 2005092 #> 1558 Kolno 2006011 #> 1559 Grabowo 2006022 #> 1560 Kolno 2006032 #> 1561 Mały Płock 2006042 #> 1562 Stawiski 2006053 #> 1563 Turośl 2006062 #> 1564 Jedwabne 2007013 #> 1565 Łomża 2007022 #> 1566 Miastkowo 2007032 #> 1567 Nowogród 2007043 #> 1568 Piątnica 2007052 #> 1569 Przytuły 2007062 #> 1570 Śniadowo 2007072 #> 1571 Wizna 2007082 #> 1572 Zbójna 2007092 #> 1573 Goniądz 2008013 #> 1574 Jasionówka 2008022 #> 1575 Jaświły 2008032 #> 1576 Knyszyn 2008043 #> 1577 Krypno 2008052 #> 1578 Mońki 2008063 #> 1579 Trzcianne 2008072 #> 1580 Sejny 2009011 #> 1581 Giby 2009022 #> 1582 Krasnopol 2009032 #> 1583 Puńsk 2009042 #> 1584 Sejny 2009052 #> 1585 Siemiatycze 2010011 #> 1586 Drohiczyn 2010023 #> 1587 Dziadkowice 2010032 #> 1588 Grodzisk 2010042 #> 1589 Mielnik 2010052 #> 1590 Milejczyce 2010062 #> 1591 Nurzec-Stacja 2010072 #> 1592 Perlejewo 2010082 #> 1593 Siemiatycze 2010092 #> 1594 Dąbrowa Białostocka 2011013 #> 1595 Janów 2011022 #> 1596 Korycin 2011032 #> 1597 Krynki 2011043 #> 1598 Kuźnica 2011052 #> 1599 Nowy Dwór 2011062 #> 1600 Sidra 2011072 #> 1601 Sokółka 2011083 #> 1602 Suchowola 2011093 #> 1603 Szudziałowo 2011102 #> 1604 Bakałarzewo 2012012 #> 1605 Filipów 2012022 #> 1606 Jeleniewo 2012032 #> 1607 Przerośl 2012042 #> 1608 Raczki 2012052 #> 1609 Rutka-Tartak 2012062 #> 1610 Suwałki 2012072 #> 1611 Szypliszki 2012082 #> 1612 Wiżajny 2012092 #> 1613 Wysokie Mazowieckie 2013011 #> 1614 Ciechanowiec 2013023 #> 1615 Czyżew 2013033 #> 1616 Klukowo 2013042 #> 1617 Kobylin-Borzymy 2013052 #> 1618 Kulesze Kościelne 2013062 #> 1619 Nowe Piekuty 2013072 #> 1620 Sokoły 2013082 #> 1621 Szepietowo 2013093 #> 1622 Wysokie Mazowieckie 2013102 #> 1623 Zambrów 2014011 #> 1624 Kołaki Kościelne 2014022 #> 1625 Rutki 2014032 #> 1626 Szumowo 2014042 #> 1627 Zambrów 2014052 #> 1628 Białystok 2061011 #> 1629 Łomża 2062011 #> 1630 Suwałki 2063011 #> 1631 Borzytuchom 2201012 #> 1632 Bytów 2201023 #> 1633 Czarna Dąbrówka 2201032 #> 1634 Kołczygłowy 2201042 #> 1635 Lipnica 2201052 #> 1636 Miastko 2201063 #> 1637 Parchowo 2201072 #> 1638 Studzienice 2201082 #> 1639 Trzebielino 2201092 #> 1640 Tuchomie 2201102 #> 1641 Chojnice 2202011 #> 1642 Brusy 2202023 #> 1643 Chojnice 2202032 #> 1644 Czersk 2202043 #> 1645 Konarzyny 2202052 #> 1646 Człuchów 2203011 #> 1647 Czarne 2203023 #> 1648 Człuchów 2203032 #> 1649 Debrzno 2203043 #> 1650 Koczała 2203052 #> 1651 Przechlewo 2203062 #> 1652 Rzeczenica 2203072 #> 1653 Pruszcz Gdański 2204011 #> 1654 Cedry Wielkie 2204022 #> 1655 Kolbudy 2204032 #> 1656 Pruszcz Gdański 2204042 #> 1657 Przywidz 2204052 #> 1658 Pszczółki 2204062 #> 1659 Suchy Dąb 2204072 #> 1660 Trąbki Wielkie 2204082 #> 1661 Chmielno 2205012 #> 1662 Kartuzy 2205023 #> 1663 Przodkowo 2205032 #> 1664 Sierakowice 2205042 #> 1665 Somonino 2205052 #> 1666 Stężyca 2205062 #> 1667 Sulęczyno 2205072 #> 1668 Żukowo 2205083 #> 1669 Kościerzyna 2206011 #> 1670 Dziemiany 2206022 #> 1671 Karsin 2206032 #> 1672 Kościerzyna 2206042 #> 1673 Liniewo 2206052 #> 1674 Lipusz 2206062 #> 1675 Nowa Karczma 2206072 #> 1676 Stara Kiszewa 2206082 #> 1677 Kwidzyn 2207011 #> 1678 Gardeja 2207022 #> 1679 Kwidzyn 2207032 #> 1680 Prabuty 2207043 #> 1681 Ryjewo 2207052 #> 1682 Sadlinki 2207062 #> 1683 Lębork 2208011 #> 1684 Łeba 2208021 #> 1685 Cewice 2208032 #> 1686 Nowa Wieś Lęborska 2208042 #> 1687 Wicko 2208052 #> 1688 Malbork 2209011 #> 1689 Lichnowy 2209032 #> 1690 Malbork 2209042 #> 1691 Miłoradz 2209062 #> 1692 Nowy Staw 2209073 #> 1693 Stare Pole 2209082 #> 1694 Krynica Morska 2210011 #> 1695 Nowy Dwór Gdański 2210023 #> 1696 Ostaszewo 2210032 #> 1697 Stegna 2210042 #> 1698 Sztutowo 2210052 #> 1699 Hel 2211011 #> 1700 Jastarnia 2211023 #> 1701 Puck 2211031 #> 1702 Władysławowo 2211043 #> 1703 Kosakowo 2211052 #> 1704 Krokowa 2211062 #> 1705 Puck 2211072 #> 1706 Ustka 2212011 #> 1707 Damnica 2212022 #> 1708 Dębnica Kaszubska 2212032 #> 1709 Główczyce 2212042 #> 1710 Kępice 2212053 #> 1711 Kobylnica 2212062 #> 1712 Potęgowo 2212072 #> 1713 Redzikowo 2212082 #> 1714 Smołdzino 2212092 #> 1715 Ustka 2212102 #> 1716 Czarna Woda 2213013 #> 1717 Skórcz 2213021 #> 1718 Starogard Gdański 2213031 #> 1719 Bobowo 2213042 #> 1720 Kaliska 2213052 #> 1721 Lubichowo 2213062 #> 1722 Osieczna 2213072 #> 1723 Osiek 2213082 #> 1724 Skarszewy 2213093 #> 1725 Skórcz 2213102 #> 1726 Smętowo Graniczne 2213112 #> 1727 Starogard Gdański 2213122 #> 1728 Zblewo 2213132 #> 1729 Tczew 2214011 #> 1730 Gniew 2214023 #> 1731 Morzeszczyn 2214032 #> 1732 Pelplin 2214043 #> 1733 Subkowy 2214052 #> 1734 Tczew 2214062 #> 1735 Reda 2215011 #> 1736 Rumia 2215021 #> 1737 Wejherowo 2215031 #> 1738 Choczewo 2215042 #> 1739 Gniewino 2215052 #> 1740 Linia 2215062 #> 1741 Luzino 2215072 #> 1742 Łęczyce 2215082 #> 1743 Szemud 2215092 #> 1744 Wejherowo 2215102 #> 1745 Dzierzgoń 2216013 #> 1746 Mikołajki Pomorskie 2216022 #> 1747 Stary Dzierzgoń 2216032 #> 1748 Stary Targ 2216042 #> 1749 Sztum 2216053 #> 1750 Gdańsk 2261011 #> 1751 Gdynia 2262011 #> 1752 Słupsk 2263011 #> 1753 Sopot 2264011 #> 1754 Będzin 2401011 #> 1755 Czeladź 2401021 #> 1756 Wojkowice 2401031 #> 1757 Bobrowniki 2401042 #> 1758 Mierzęcice 2401052 #> 1759 Psary 2401062 #> 1760 Siewierz 2401073 #> 1761 Sławków 2401081 #> 1762 Szczyrk 2402011 #> 1763 Bestwina 2402022 #> 1764 Buczkowice 2402032 #> 1765 Czechowice-Dziedzice 2402043 #> 1766 Jasienica 2402052 #> 1767 Jaworze 2402062 #> 1768 Kozy 2402072 #> 1769 Porąbka 2402082 #> 1770 Wilamowice 2402093 #> 1771 Wilkowice 2402102 #> 1772 Cieszyn 2403011 #> 1773 Ustroń 2403021 #> 1774 Wisła 2403031 #> 1775 Brenna 2403042 #> 1776 Chybie 2403052 #> 1777 Dębowiec 2403062 #> 1778 Goleszów 2403072 #> 1779 Hażlach 2403082 #> 1780 Istebna 2403092 #> 1781 Skoczów 2403103 #> 1782 Strumień 2403113 #> 1783 Zebrzydowice 2403122 #> 1784 Blachownia 2404013 #> 1785 Dąbrowa Zielona 2404022 #> 1786 Janów 2404032 #> 1787 Kamienica Polska 2404042 #> 1788 Kłomnice 2404052 #> 1789 Koniecpol 2404063 #> 1790 Konopiska 2404072 #> 1791 Kruszyna 2404082 #> 1792 Lelów 2404092 #> 1793 Mstów 2404102 #> 1794 Mykanów 2404112 #> 1795 Olsztyn 2404123 #> 1796 Poczesna 2404132 #> 1797 Przyrów 2404143 #> 1798 Rędziny 2404152 #> 1799 Starcza 2404162 #> 1800 Knurów 2405011 #> 1801 Pyskowice 2405021 #> 1802 Gierałtowice 2405032 #> 1803 Pilchowice 2405042 #> 1804 Rudziniec 2405052 #> 1805 Sośnicowice 2405063 #> 1806 Toszek 2405073 #> 1807 Wielowieś 2405082 #> 1808 Kłobuck 2406013 #> 1809 Krzepice 2406023 #> 1810 Lipie 2406032 #> 1811 Miedźno 2406042 #> 1812 Opatów 2406052 #> 1813 Panki 2406062 #> 1814 Popów 2406072 #> 1815 Przystajń 2406082 #> 1816 Wręczyca Wielka 2406092 #> 1817 Lubliniec 2407011 #> 1818 Boronów 2407022 #> 1819 Ciasna 2407032 #> 1820 Herby 2407042 #> 1821 Kochanowice 2407052 #> 1822 Koszęcin 2407062 #> 1823 Pawonków 2407072 #> 1824 Woźniki 2407083 #> 1825 Łaziska Górne 2408011 #> 1826 Mikołów 2408021 #> 1827 Orzesze 2408031 #> 1828 Ornontowice 2408042 #> 1829 Wyry 2408052 #> 1830 Myszków 2409011 #> 1831 Koziegłowy 2409023 #> 1832 Niegowa 2409032 #> 1833 Poraj 2409042 #> 1834 Żarki 2409053 #> 1835 Goczałkowice-Zdrój 2410012 #> 1836 Kobiór 2410022 #> 1837 Miedźna 2410032 #> 1838 Pawłowice 2410042 #> 1839 Pszczyna 2410053 #> 1840 Suszec 2410062 #> 1841 Racibórz 2411011 #> 1842 Kornowac 2411022 #> 1843 Krzanowice 2411033 #> 1844 Krzyżanowice 2411042 #> 1845 Kuźnia Raciborska 2411053 #> 1846 Nędza 2411062 #> 1847 Pietrowice Wielkie 2411072 #> 1848 Rudnik 2411082 #> 1849 Czerwionka-Leszczyny 2412013 #> 1850 Gaszowice 2412022 #> 1851 Jejkowice 2412032 #> 1852 Lyski 2412042 #> 1853 Świerklany 2412052 #> 1854 Kalety 2413011 #> 1855 Miasteczko Śląskie 2413021 #> 1856 Radzionków 2413031 #> 1857 Tarnowskie Góry 2413041 #> 1858 Krupski Młyn 2413052 #> 1859 Ożarowice 2413062 #> 1860 Świerklaniec 2413072 #> 1861 Tworóg 2413082 #> 1862 Zbrosławice 2413092 #> 1863 Bieruń 2414011 #> 1864 Imielin 2414021 #> 1865 Lędziny 2414031 #> 1866 Bojszowy 2414042 #> 1867 Chełm Śląski 2414052 #> 1868 Pszów 2415011 #> 1869 Radlin 2415021 #> 1870 Rydułtowy 2415031 #> 1871 Wodzisław Śląski 2415041 #> 1872 Godów 2415052 #> 1873 Gorzyce 2415062 #> 1874 Lubomia 2415072 #> 1875 Marklowice 2415082 #> 1876 Mszana 2415092 #> 1877 Poręba 2416011 #> 1878 Zawiercie 2416021 #> 1879 Irządze 2416032 #> 1880 Kroczyce 2416042 #> 1881 Łazy 2416053 #> 1882 Ogrodzieniec 2416063 #> 1883 Pilica 2416073 #> 1884 Szczekociny 2416083 #> 1885 Włodowice 2416093 #> 1886 Żarnowiec 2416102 #> 1887 Żywiec 2417011 #> 1888 Czernichów 2417022 #> 1889 Gilowice 2417032 #> 1890 Jeleśnia 2417042 #> 1891 Koszarawa 2417052 #> 1892 Lipowa 2417062 #> 1893 Łękawica 2417072 #> 1894 Łodygowice 2417082 #> 1895 Milówka 2417092 #> 1896 Radziechowy-Wieprz 2417102 #> 1897 Rajcza 2417112 #> 1898 Ślemień 2417122 #> 1899 Świnna 2417132 #> 1900 Ujsoły 2417142 #> 1901 Węgierska Górka 2417152 #> 1902 Bielsko-Biała 2461011 #> 1903 Bytom 2462011 #> 1904 Chorzów 2463011 #> 1905 Częstochowa 2464011 #> 1906 Dąbrowa Górnicza 2465011 #> 1907 Gliwice 2466011 #> 1908 Jastrzębie-Zdrój 2467011 #> 1909 Jaworzno 2468011 #> 1910 Katowice 2469011 #> 1911 Mysłowice 2470011 #> 1912 Piekary Śląskie 2471011 #> 1913 Ruda Śląska 2472011 #> 1914 Rybnik 2473011 #> 1915 Siemianowice Śląskie 2474011 #> 1916 Sosnowiec 2475011 #> 1917 Świętochłowice 2476011 #> 1918 Tychy 2477011 #> 1919 Zabrze 2478011 #> 1920 Żory 2479011 #> 1921 Busko-Zdrój 2601013 #> 1922 Gnojno 2601022 #> 1923 Nowy Korczyn 2601033 #> 1924 Pacanów 2601043 #> 1925 Solec-Zdrój 2601052 #> 1926 Stopnica 2601063 #> 1927 Tuczępy 2601072 #> 1928 Wiślica 2601083 #> 1929 Imielno 2602012 #> 1930 Jędrzejów 2602023 #> 1931 Małogoszcz 2602033 #> 1932 Nagłowice 2602042 #> 1933 Oksa 2602052 #> 1934 Sędziszów 2602063 #> 1935 Słupia 2602072 #> 1936 Sobków 2602082 #> 1937 Wodzisław 2602093 #> 1938 Bejsce 2603012 #> 1939 Czarnocin 2603022 #> 1940 Kazimierza Wielka 2603033 #> 1941 Opatowiec 2603043 #> 1942 Skalbmierz 2603053 #> 1943 Bieliny 2604012 #> 1944 Bodzentyn 2604023 #> 1945 Chęciny 2604033 #> 1946 Chmielnik 2604043 #> 1947 Daleszyce 2604053 #> 1948 Górno 2604062 #> 1949 Łagów 2604073 #> 1950 Łopuszno 2604083 #> 1951 Masłów 2604092 #> 1952 Miedziana Góra 2604102 #> 1953 Mniów 2604112 #> 1954 Morawica 2604123 #> 1955 Nowa Słupia 2604133 #> 1956 Piekoszów 2604143 #> 1957 Pierzchnica 2604153 #> 1958 Raków 2604162 #> 1959 Nowiny 2604172 #> 1960 Strawczyn 2604182 #> 1961 Zagnańsk 2604192 #> 1962 Fałków 2605012 #> 1963 Gowarczów 2605023 #> 1964 Końskie 2605033 #> 1965 Radoszyce 2605043 #> 1966 Ruda Maleniecka 2605052 #> 1967 Słupia Konecka 2605062 #> 1968 Smyków 2605072 #> 1969 Stąporków 2605083 #> 1970 Baćkowice 2606012 #> 1971 Iwaniska 2606023 #> 1972 Lipnik 2606032 #> 1973 Opatów 2606043 #> 1974 Ożarów 2606053 #> 1975 Sadowie 2606062 #> 1976 Tarłów 2606072 #> 1977 Wojciechowice 2606082 #> 1978 Ostrowiec Świętokrzyski 2607011 #> 1979 Bałtów 2607022 #> 1980 Bodzechów 2607032 #> 1981 Ćmielów 2607043 #> 1982 Kunów 2607053 #> 1983 Waśniów 2607062 #> 1984 Działoszyce 2608013 #> 1985 Kije 2608022 #> 1986 Michałów 2608032 #> 1987 Pińczów 2608043 #> 1988 Złota 2608052 #> 1989 Sandomierz 2609011 #> 1990 Dwikozy 2609022 #> 1991 Klimontów 2609033 #> 1992 Koprzywnica 2609043 #> 1993 Łoniów 2609052 #> 1994 Obrazów 2609062 #> 1995 Samborzec 2609072 #> 1996 Wilczyce 2609082 #> 1997 Zawichost 2609093 #> 1998 Skarżysko-Kamienna 2610011 #> 1999 Bliżyn 2610022 #> 2000 Łączna 2610032 #> 2001 Skarżysko Kościelne 2610042 #> 2002 Suchedniów 2610053 #> 2003 Starachowice 2611011 #> 2004 Brody 2611022 #> 2005 Mirzec 2611032 #> 2006 Pawłów 2611042 #> 2007 Wąchock 2611053 #> 2008 Bogoria 2612013 #> 2009 Łubnice 2612022 #> 2010 Oleśnica 2612033 #> 2011 Osiek 2612043 #> 2012 Połaniec 2612053 #> 2013 Rytwiany 2612062 #> 2014 Staszów 2612073 #> 2015 Szydłów 2612083 #> 2016 Kluczewsko 2613012 #> 2017 Krasocin 2613022 #> 2018 Moskorzew 2613032 #> 2019 Radków 2613042 #> 2020 Secemin 2613052 #> 2021 Włoszczowa 2613063 #> 2022 Kielce 2661011 #> 2023 Bartoszyce 2801011 #> 2024 Górowo Iławeckie 2801021 #> 2025 Bartoszyce 2801032 #> 2026 Bisztynek 2801043 #> 2027 Górowo Iławeckie 2801052 #> 2028 Sępopol 2801063 #> 2029 Braniewo 2802011 #> 2030 Braniewo 2802022 #> 2031 Frombork 2802033 #> 2032 Lelkowo 2802042 #> 2033 Pieniężno 2802053 #> 2034 Płoskinia 2802062 #> 2035 Wilczęta 2802072 #> 2036 Działdowo 2803011 #> 2037 Działdowo 2803022 #> 2038 Iłowo-Osada 2803032 #> 2039 Lidzbark 2803043 #> 2040 Płośnica 2803052 #> 2041 Rybno 2803062 #> 2042 Elbląg 2804012 #> 2043 Godkowo 2804022 #> 2044 Gronowo Elbląskie 2804032 #> 2045 Markusy 2804042 #> 2046 Milejewo 2804052 #> 2047 Młynary 2804063 #> 2048 Pasłęk 2804073 #> 2049 Rychliki 2804082 #> 2050 Tolkmicko 2804093 #> 2051 Ełk 2805011 #> 2052 Ełk 2805022 #> 2053 Kalinowo 2805032 #> 2054 Prostki 2805042 #> 2055 Stare Juchy 2805052 #> 2056 Giżycko 2806011 #> 2057 Giżycko 2806042 #> 2058 Kruklanki 2806052 #> 2059 Miłki 2806062 #> 2060 Ryn 2806083 #> 2061 Wydminy 2806102 #> 2062 Iława 2807011 #> 2063 Lubawa 2807021 #> 2064 Iława 2807032 #> 2065 Kisielice 2807043 #> 2066 Lubawa 2807052 #> 2067 Susz 2807063 #> 2068 Zalewo 2807073 #> 2069 Kętrzyn 2808011 #> 2070 Barciany 2808022 #> 2071 Kętrzyn 2808032 #> 2072 Korsze 2808043 #> 2073 Reszel 2808053 #> 2074 Srokowo 2808062 #> 2075 Lidzbark Warmiński 2809011 #> 2076 Kiwity 2809022 #> 2077 Lidzbark Warmiński 2809032 #> 2078 Lubomino 2809042 #> 2079 Orneta 2809053 #> 2080 Mrągowo 2810011 #> 2081 Mikołajki 2810023 #> 2082 Mrągowo 2810032 #> 2083 Piecki 2810042 #> 2084 Sorkwity 2810052 #> 2085 Janowiec Kościelny 2811012 #> 2086 Janowo 2811022 #> 2087 Kozłowo 2811032 #> 2088 Nidzica 2811043 #> 2089 Nowe Miasto Lubawskie 2812011 #> 2090 Biskupiec 2812022 #> 2091 Grodziczno 2812032 #> 2092 Kurzętnik 2812042 #> 2093 Nowe Miasto Lubawskie 2812052 #> 2094 Kowale Oleckie 2813032 #> 2095 Olecko 2813043 #> 2096 Świętajno 2813052 #> 2097 Wieliczki 2813062 #> 2098 Barczewo 2814013 #> 2099 Biskupiec 2814023 #> 2100 Dobre Miasto 2814033 #> 2101 Dywity 2814042 #> 2102 Gietrzwałd 2814052 #> 2103 Jeziorany 2814063 #> 2104 Jonkowo 2814072 #> 2105 Kolno 2814082 #> 2106 Olsztynek 2814093 #> 2107 Purda 2814102 #> 2108 Stawiguda 2814112 #> 2109 Świątki 2814122 #> 2110 Ostróda 2815011 #> 2111 Dąbrówno 2815022 #> 2112 Grunwald 2815032 #> 2113 Łukta 2815042 #> 2114 Małdyty 2815052 #> 2115 Miłakowo 2815063 #> 2116 Miłomłyn 2815073 #> 2117 Morąg 2815083 #> 2118 Ostróda 2815092 #> 2119 Biała Piska 2816013 #> 2120 Orzysz 2816023 #> 2121 Pisz 2816033 #> 2122 Ruciane-Nida 2816043 #> 2123 Szczytno 2817011 #> 2124 Dźwierzuty 2817022 #> 2125 Jedwabno 2817032 #> 2126 Pasym 2817043 #> 2127 Rozogi 2817052 #> 2128 Szczytno 2817062 #> 2129 Świętajno 2817072 #> 2130 Wielbark 2817083 #> 2131 Banie Mazurskie 2818012 #> 2132 Dubeninki 2818022 #> 2133 Gołdap 2818033 #> 2134 Budry 2819012 #> 2135 Pozezdrze 2819022 #> 2136 Węgorzewo 2819033 #> 2137 Elbląg 2861011 #> 2138 Olsztyn 2862011 #> 2139 Chodzież 3001011 #> 2140 Budzyń 3001023 #> 2141 Chodzież 3001032 #> 2142 Margonin 3001043 #> 2143 Szamocin 3001053 #> 2144 Czarnków 3002011 #> 2145 Czarnków 3002022 #> 2146 Drawsko 3002032 #> 2147 Krzyż Wielkopolski 3002043 #> 2148 Lubasz 3002052 #> 2149 Połajewo 3002062 #> 2150 Trzcianka 3002073 #> 2151 Wieleń 3002083 #> 2152 Gniezno 3003011 #> 2153 Czerniejewo 3003023 #> 2154 Gniezno 3003032 #> 2155 Kiszkowo 3003042 #> 2156 Kłecko 3003053 #> 2157 Łubowo 3003062 #> 2158 Mieleszyn 3003072 #> 2159 Niechanowo 3003082 #> 2160 Trzemeszno 3003093 #> 2161 Witkowo 3003103 #> 2162 Borek Wielkopolski 3004013 #> 2163 Gostyń 3004023 #> 2164 Krobia 3004033 #> 2165 Pępowo 3004042 #> 2166 Piaski 3004052 #> 2167 Pogorzela 3004063 #> 2168 Poniec 3004073 #> 2169 Granowo 3005012 #> 2170 Grodzisk Wielkopolski 3005023 #> 2171 Kamieniec 3005032 #> 2172 Rakoniewice 3005043 #> 2173 Wielichowo 3005053 #> 2174 Jaraczewo 3006013 #> 2175 Jarocin 3006023 #> 2176 Kotlin 3006032 #> 2177 Żerków 3006043 #> 2178 Blizanów 3007012 #> 2179 Brzeziny 3007022 #> 2180 Ceków-Kolonia 3007032 #> 2181 Godziesze Wielkie 3007042 #> 2182 Koźminek 3007053 #> 2183 Lisków 3007062 #> 2184 Mycielin 3007072 #> 2185 Opatówek 3007083 #> 2186 Stawiszyn 3007093 #> 2187 Szczytniki 3007102 #> 2188 Żelazków 3007112 #> 2189 Baranów 3008012 #> 2190 Bralin 3008022 #> 2191 Kępno 3008033 #> 2192 Łęka Opatowska 3008042 #> 2193 Perzów 3008052 #> 2194 Rychtal 3008063 #> 2195 Trzcinica 3008072 #> 2196 Koło 3009011 #> 2197 Babiak 3009022 #> 2198 Chodów 3009032 #> 2199 Dąbie 3009043 #> 2200 Grzegorzew 3009052 #> 2201 Kłodawa 3009063 #> 2202 Koło 3009072 #> 2203 Kościelec 3009082 #> 2204 Olszówka 3009092 #> 2205 Osiek Mały 3009102 #> 2206 Przedecz 3009113 #> 2207 Golina 3010013 #> 2208 Grodziec 3010022 #> 2209 Kazimierz Biskupi 3010032 #> 2210 Kleczew 3010043 #> 2211 Kramsk 3010052 #> 2212 Krzymów 3010062 #> 2213 Rychwał 3010073 #> 2214 Rzgów 3010082 #> 2215 Skulsk 3010092 #> 2216 Sompolno 3010103 #> 2217 Stare Miasto 3010112 #> 2218 Ślesin 3010123 #> 2219 Wierzbinek 3010132 #> 2220 Wilczyn 3010142 #> 2221 Kościan 3011011 #> 2222 Czempiń 3011023 #> 2223 Kościan 3011032 #> 2224 Krzywiń 3011043 #> 2225 Śmigiel 3011053 #> 2226 Sulmierzyce 3012011 #> 2227 Kobylin 3012023 #> 2228 Koźmin Wielkopolski 3012033 #> 2229 Krotoszyn 3012043 #> 2230 Rozdrażew 3012052 #> 2231 Zduny 3012063 #> 2232 Krzemieniewo 3013012 #> 2233 Lipno 3013022 #> 2234 Osieczna 3013033 #> 2235 Rydzyna 3013043 #> 2236 Święciechowa 3013052 #> 2237 Wijewo 3013062 #> 2238 Włoszakowice 3013072 #> 2239 Chrzypsko Wielkie 3014012 #> 2240 Kwilcz 3014022 #> 2241 Międzychód 3014033 #> 2242 Sieraków 3014043 #> 2243 Kuślin 3015012 #> 2244 Lwówek 3015023 #> 2245 Miedzichowo 3015032 #> 2246 Nowy Tomyśl 3015043 #> 2247 Opalenica 3015053 #> 2248 Zbąszyń 3015063 #> 2249 Oborniki 3016013 #> 2250 Rogoźno 3016023 #> 2251 Ryczywół 3016032 #> 2252 Ostrów Wielkopolski 3017011 #> 2253 Nowe Skalmierzyce 3017023 #> 2254 Odolanów 3017033 #> 2255 Ostrów Wielkopolski 3017042 #> 2256 Przygodzice 3017052 #> 2257 Raszków 3017063 #> 2258 Sieroszewice 3017072 #> 2259 Sośnie 3017082 #> 2260 Czajków 3018012 #> 2261 Doruchów 3018022 #> 2262 Grabów nad Prosną 3018033 #> 2263 Kobyla Góra 3018042 #> 2264 Kraszewice 3018052 #> 2265 Mikstat 3018063 #> 2266 Ostrzeszów 3018073 #> 2267 Piła 3019011 #> 2268 Białośliwie 3019022 #> 2269 Kaczory 3019033 #> 2270 Łobżenica 3019043 #> 2271 Miasteczko Krajeńskie 3019053 #> 2272 Szydłowo 3019062 #> 2273 Ujście 3019073 #> 2274 Wyrzysk 3019083 #> 2275 Wysoka 3019093 #> 2276 Chocz 3020013 #> 2277 Czermin 3020022 #> 2278 Dobrzyca 3020033 #> 2279 Gizałki 3020042 #> 2280 Gołuchów 3020052 #> 2281 Pleszew 3020063 #> 2282 Luboń 3021011 #> 2283 Puszczykowo 3021021 #> 2284 Buk 3021033 #> 2285 Czerwonak 3021042 #> 2286 Dopiewo 3021052 #> 2287 Kleszczewo 3021062 #> 2288 Komorniki 3021072 #> 2289 Kostrzyn 3021083 #> 2290 Kórnik 3021093 #> 2291 Mosina 3021103 #> 2292 Murowana Goślina 3021113 #> 2293 Pobiedziska 3021123 #> 2294 Rokietnica 3021132 #> 2295 Stęszew 3021143 #> 2296 Suchy Las 3021152 #> 2297 Swarzędz 3021163 #> 2298 Tarnowo Podgórne 3021172 #> 2299 Bojanowo 3022013 #> 2300 Jutrosin 3022023 #> 2301 Miejska Górka 3022033 #> 2302 Pakosław 3022042 #> 2303 Rawicz 3022053 #> 2304 Słupca 3023011 #> 2305 Lądek 3023022 #> 2306 Orchowo 3023032 #> 2307 Ostrowite 3023042 #> 2308 Powidz 3023052 #> 2309 Słupca 3023062 #> 2310 Strzałkowo 3023072 #> 2311 Zagórów 3023083 #> 2312 Obrzycko 3024011 #> 2313 Duszniki 3024022 #> 2314 Kaźmierz 3024032 #> 2315 Obrzycko 3024042 #> 2316 Ostroróg 3024053 #> 2317 Pniewy 3024063 #> 2318 Szamotuły 3024073 #> 2319 Wronki 3024083 #> 2320 Dominowo 3025012 #> 2321 Krzykosy 3025022 #> 2322 Nowe Miasto nad Wartą 3025032 #> 2323 Środa Wielkopolska 3025043 #> 2324 Zaniemyśl 3025052 #> 2325 Brodnica 3026012 #> 2326 Dolsk 3026023 #> 2327 Książ Wielkopolski 3026033 #> 2328 Śrem 3026043 #> 2329 Turek 3027011 #> 2330 Brudzew 3027022 #> 2331 Dobra 3027033 #> 2332 Kawęczyn 3027042 #> 2333 Malanów 3027052 #> 2334 Przykona 3027062 #> 2335 Tuliszków 3027073 #> 2336 Turek 3027082 #> 2337 Władysławów 3027092 #> 2338 Wągrowiec 3028011 #> 2339 Damasławek 3028022 #> 2340 Gołańcz 3028033 #> 2341 Mieścisko 3028043 #> 2342 Skoki 3028053 #> 2343 Wapno 3028062 #> 2344 Wągrowiec 3028072 #> 2345 Przemęt 3029012 #> 2346 Siedlec 3029022 #> 2347 Wolsztyn 3029033 #> 2348 Kołaczkowo 3030012 #> 2349 Miłosław 3030023 #> 2350 Nekla 3030033 #> 2351 Pyzdry 3030043 #> 2352 Września 3030053 #> 2353 Złotów 3031011 #> 2354 Jastrowie 3031023 #> 2355 Krajenka 3031033 #> 2356 Lipka 3031042 #> 2357 Okonek 3031053 #> 2358 Tarnówka 3031062 #> 2359 Zakrzewo 3031072 #> 2360 Złotów 3031082 #> 2361 Kalisz 3061011 #> 2362 Konin 3062011 #> 2363 Leszno 3063011 #> 2364 Poznań 3064011 #> 2365 Białogard 3201011 #> 2366 Białogard 3201022 #> 2367 Karlino 3201033 #> 2368 Tychowo 3201043 #> 2369 Bierzwnik 3202012 #> 2370 Choszczno 3202023 #> 2371 Drawno 3202033 #> 2372 Krzęcin 3202042 #> 2373 Pełczyce 3202053 #> 2374 Recz 3202063 #> 2375 Czaplinek 3203013 #> 2376 Drawsko Pomorskie 3203023 #> 2377 Kalisz Pomorski 3203033 #> 2378 Wierzchowo 3203052 #> 2379 Złocieniec 3203063 #> 2380 Goleniów 3204023 #> 2381 Maszewo 3204033 #> 2382 Nowogard 3204043 #> 2383 Osina 3204052 #> 2384 Przybiernów 3204062 #> 2385 Stepnica 3204073 #> 2386 Brojce 3205012 #> 2387 Gryfice 3205023 #> 2388 Karnice 3205032 #> 2389 Płoty 3205043 #> 2390 Rewal 3205072 #> 2391 Trzebiatów 3205083 #> 2392 Banie 3206012 #> 2393 Cedynia 3206023 #> 2394 Chojna 3206033 #> 2395 Gryfino 3206043 #> 2396 Mieszkowice 3206053 #> 2397 Moryń 3206063 #> 2398 Stare Czarnowo 3206072 #> 2399 Trzcińsko-Zdrój 3206083 #> 2400 Widuchowa 3206092 #> 2401 Dziwnów 3207013 #> 2402 Golczewo 3207023 #> 2403 Kamień Pomorski 3207033 #> 2404 Międzyzdroje 3207043 #> 2405 Świerzno 3207052 #> 2406 Wolin 3207063 #> 2407 Kołobrzeg 3208011 #> 2408 Dygowo 3208022 #> 2409 Gościno 3208033 #> 2410 Kołobrzeg 3208042 #> 2411 Rymań 3208052 #> 2412 Siemyśl 3208062 #> 2413 Ustronie Morskie 3208072 #> 2414 Będzino 3209012 #> 2415 Biesiekierz 3209022 #> 2416 Bobolice 3209033 #> 2417 Manowo 3209042 #> 2418 Mielno 3209053 #> 2419 Polanów 3209063 #> 2420 Sianów 3209073 #> 2421 Świeszyno 3209082 #> 2422 Barlinek 3210013 #> 2423 Boleszkowice 3210022 #> 2424 Dębno 3210033 #> 2425 Myślibórz 3210043 #> 2426 Nowogródek Pomorski 3210052 #> 2427 Dobra (Szczecińska) 3211012 #> 2428 Kołbaskowo 3211022 #> 2429 Nowe Warpno 3211033 #> 2430 Police 3211043 #> 2431 Bielice 3212012 #> 2432 Kozielice 3212022 #> 2433 Lipiany 3212033 #> 2434 Przelewice 3212042 #> 2435 Pyrzyce 3212053 #> 2436 Warnice 3212062 #> 2437 Darłowo 3213011 #> 2438 Sławno 3213021 #> 2439 Darłowo 3213032 #> 2440 Malechowo 3213042 #> 2441 Postomino 3213052 #> 2442 Sławno 3213062 #> 2443 Stargard 3214011 #> 2444 Chociwel 3214023 #> 2445 Dobrzany 3214033 #> 2446 Dolice 3214042 #> 2447 Ińsko 3214053 #> 2448 Kobylanka 3214062 #> 2449 Marianowo 3214082 #> 2450 Stara Dąbrowa 3214092 #> 2451 Stargard 3214102 #> 2452 Suchań 3214113 #> 2453 Szczecinek 3215011 #> 2454 Barwice 3215023 #> 2455 Biały Bór 3215033 #> 2456 Borne Sulinowo 3215043 #> 2457 Grzmiąca 3215052 #> 2458 Szczecinek 3215062 #> 2459 Świdwin 3216011 #> 2460 Brzeżno 3216022 #> 2461 Połczyn-Zdrój 3216033 #> 2462 Rąbino 3216042 #> 2463 Sławoborze 3216052 #> 2464 Świdwin 3216062 #> 2465 Wałcz 3217011 #> 2466 Człopa 3217023 #> 2467 Mirosławiec 3217033 #> 2468 Tuczno 3217043 #> 2469 Wałcz 3217052 #> 2470 Dobra 3218013 #> 2471 Łobez 3218023 #> 2472 Radowo Małe 3218032 #> 2473 Resko 3218043 #> 2474 Węgorzyno 3218053 #> 2475 Koszalin 3261011 #> 2476 Szczecin 3262011 #> 2477 Świnoujście 3263011"},{"path":"https://kadyb.github.io/rgugik/reference/county_names.html","id":null,"dir":"Reference","previous_headings":"","what":"Counties in Poland — county_names","title":"Counties in Poland — county_names","text":"data frame contains names counties, identifiers (TERYT, 4 characters) availability building models LOD2 standard (logical value).","code":""},{"path":"https://kadyb.github.io/rgugik/reference/county_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Counties in Poland — county_names","text":"","code":"county_names"},{"path":"https://kadyb.github.io/rgugik/reference/county_names.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Counties in Poland — county_names","text":"object class data.frame 380 rows 3 columns.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/county_names.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Counties in Poland — county_names","text":"","code":"county_names #> NAME TERYT LOD2 #> 1 aleksandrowski 0401 TRUE #> 2 augustowski 2001 TRUE #> 3 bartoszycki 2801 TRUE #> 4 bełchatowski 1001 FALSE #> 5 będziński 2401 TRUE #> 6 bialski 0601 TRUE #> 7 Biała Podlaska 0661 TRUE #> 8 białobrzeski 1401 TRUE #> 9 białogardzki 3201 FALSE #> 10 białostocki 2002 TRUE #> 11 Białystok 2061 TRUE #> 12 bielski 2003 TRUE #> 13 bielski 2402 TRUE #> 14 Bielsko-Biała 2461 TRUE #> 15 bieruńsko-lędziński 2414 TRUE #> 16 bieszczadzki 1801 TRUE #> 17 biłgorajski 0602 TRUE #> 18 bocheński 1201 TRUE #> 19 bolesławiecki 0201 FALSE #> 20 braniewski 2802 TRUE #> 21 brodnicki 0402 TRUE #> 22 brzeski 1202 TRUE #> 23 brzeski 1601 TRUE #> 24 brzeziński 1021 FALSE #> 25 brzozowski 1802 TRUE #> 26 buski 2601 TRUE #> 27 bydgoski 0403 TRUE #> 28 Bydgoszcz 0461 TRUE #> 29 Bytom 2462 TRUE #> 30 bytowski 2201 FALSE #> 31 Chełm 0662 TRUE #> 32 chełmiński 0404 TRUE #> 33 chełmski 0603 TRUE #> 34 chodzieski 3001 FALSE #> 35 chojnicki 2202 FALSE #> 36 Chorzów 2463 TRUE #> 37 choszczeński 3202 FALSE #> 38 chrzanowski 1203 TRUE #> 39 ciechanowski 1402 TRUE #> 40 cieszyński 2403 TRUE #> 41 czarnkowsko-trzcianecki 3002 FALSE #> 42 Częstochowa 2464 TRUE #> 43 częstochowski 2404 TRUE #> 44 człuchowski 2203 FALSE #> 45 Dąbrowa Górnicza 2465 TRUE #> 46 dąbrowski 1204 TRUE #> 47 dębicki 1803 TRUE #> 48 drawski 3203 FALSE #> 49 działdowski 2803 TRUE #> 50 dzierżoniowski 0202 FALSE #> 51 Elbląg 2861 TRUE #> 52 elbląski 2804 TRUE #> 53 ełcki 2805 TRUE #> 54 garwoliński 1403 TRUE #> 55 Gdańsk 2261 FALSE #> 56 gdański 2204 FALSE #> 57 Gdynia 2262 FALSE #> 58 giżycki 2806 TRUE #> 59 Gliwice 2466 TRUE #> 60 gliwicki 2405 TRUE #> 61 głogowski 0203 FALSE #> 62 głubczycki 1602 TRUE #> 63 gnieźnieński 3003 FALSE #> 64 goleniowski 3204 FALSE #> 65 golubsko-dobrzyński 0405 TRUE #> 66 gołdapski 2818 TRUE #> 67 gorlicki 1205 TRUE #> 68 gorzowski 0801 FALSE #> 69 Gorzów Wielkopolski 0861 FALSE #> 70 gostyniński 1404 TRUE #> 71 gostyński 3004 FALSE #> 72 górowski 0204 FALSE #> 73 grajewski 2004 TRUE #> 74 grodziski 1405 TRUE #> 75 grodziski 3005 FALSE #> 76 grójecki 1406 TRUE #> 77 Grudziądz 0462 TRUE #> 78 grudziądzki 0406 TRUE #> 79 gryficki 3205 FALSE #> 80 gryfiński 3206 FALSE #> 81 hajnowski 2005 TRUE #> 82 hrubieszowski 0604 TRUE #> 83 iławski 2807 TRUE #> 84 inowrocławski 0407 TRUE #> 85 janowski 0605 TRUE #> 86 jarociński 3006 FALSE #> 87 jarosławski 1804 TRUE #> 88 jasielski 1805 TRUE #> 89 Jastrzębie-Zdrój 2467 TRUE #> 90 jaworski 0205 FALSE #> 91 Jaworzno 2468 TRUE #> 92 Jelenia Góra 0261 FALSE #> 93 jeleniogórski 0206 FALSE #> 94 jędrzejowski 2602 TRUE #> 95 kaliski 3007 FALSE #> 96 Kalisz 3061 FALSE #> 97 kamiennogórski 0207 FALSE #> 98 kamieński 3207 FALSE #> 99 kartuski 2205 FALSE #> 100 Katowice 2469 TRUE #> 101 kazimierski 2603 TRUE #> 102 kędzierzyńsko-kozielski 1603 TRUE #> 103 kępiński 3008 FALSE #> 104 kętrzyński 2808 TRUE #> 105 Kielce 2661 TRUE #> 106 kielecki 2604 TRUE #> 107 kluczborski 1604 TRUE #> 108 kłobucki 2406 TRUE #> 109 kłodzki 0208 FALSE #> 110 kolbuszowski 1806 TRUE #> 111 kolneński 2006 TRUE #> 112 kolski 3009 FALSE #> 113 kołobrzeski 3208 FALSE #> 114 konecki 2605 TRUE #> 115 Konin 3062 FALSE #> 116 koniński 3010 FALSE #> 117 Koszalin 3261 FALSE #> 118 koszaliński 3209 FALSE #> 119 kościański 3011 FALSE #> 120 kościerski 2206 FALSE #> 121 kozienicki 1407 TRUE #> 122 krakowski 1206 TRUE #> 123 Kraków 1261 TRUE #> 124 krapkowicki 1605 TRUE #> 125 krasnostawski 0606 TRUE #> 126 kraśnicki 0607 TRUE #> 127 Krosno 1861 TRUE #> 128 krośnieński 0802 FALSE #> 129 krośnieński 1807 TRUE #> 130 krotoszyński 3012 FALSE #> 131 kutnowski 1002 FALSE #> 132 kwidzyński 2207 FALSE #> 133 legionowski 1408 TRUE #> 134 Legnica 0262 FALSE #> 135 legnicki 0209 FALSE #> 136 leski 1821 TRUE #> 137 leszczyński 3013 FALSE #> 138 Leszno 3063 FALSE #> 139 leżajski 1808 TRUE #> 140 lęborski 2208 FALSE #> 141 lidzbarski 2809 TRUE #> 142 limanowski 1207 TRUE #> 143 lipnowski 0408 TRUE #> 144 lipski 1409 TRUE #> 145 lubaczowski 1809 TRUE #> 146 lubański 0210 FALSE #> 147 lubartowski 0608 TRUE #> 148 lubelski 0609 TRUE #> 149 lubiński 0211 FALSE #> 150 Lublin 0663 TRUE #> 151 lubliniecki 2407 TRUE #> 152 lwówecki 0212 FALSE #> 153 łańcucki 1810 TRUE #> 154 łaski 1003 FALSE #> 155 łęczycki 1004 FALSE #> 156 łęczyński 0610 TRUE #> 157 łobeski 3218 FALSE #> 158 Łomża 2062 TRUE #> 159 łomżyński 2007 TRUE #> 160 łosicki 1410 TRUE #> 161 łowicki 1005 FALSE #> 162 łódzki wschodni 1006 FALSE #> 163 Łódź 1061 FALSE #> 164 łukowski 0611 TRUE #> 165 makowski 1411 TRUE #> 166 malborski 2209 FALSE #> 167 miechowski 1208 TRUE #> 168 mielecki 1811 TRUE #> 169 międzychodzki 3014 FALSE #> 170 międzyrzecki 0803 FALSE #> 171 mikołowski 2408 TRUE #> 172 milicki 0213 FALSE #> 173 miński 1412 TRUE #> 174 mławski 1413 TRUE #> 175 mogileński 0409 TRUE #> 176 moniecki 2008 TRUE #> 177 mrągowski 2810 TRUE #> 178 Mysłowice 2470 TRUE #> 179 myszkowski 2409 TRUE #> 180 myślenicki 1209 TRUE #> 181 myśliborski 3210 FALSE #> 182 nakielski 0410 TRUE #> 183 namysłowski 1606 TRUE #> 184 nidzicki 2811 TRUE #> 185 niżański 1812 TRUE #> 186 nowodworski 1414 TRUE #> 187 nowodworski 2210 FALSE #> 188 nowomiejski 2812 TRUE #> 189 nowosądecki 1210 TRUE #> 190 nowosolski 0804 FALSE #> 191 nowotarski 1211 TRUE #> 192 nowotomyski 3015 FALSE #> 193 Nowy Sącz 1262 TRUE #> 194 nyski 1607 TRUE #> 195 obornicki 3016 FALSE #> 196 olecki 2813 TRUE #> 197 oleski 1608 TRUE #> 198 oleśnicki 0214 FALSE #> 199 olkuski 1212 TRUE #> 200 Olsztyn 2862 TRUE #> 201 olsztyński 2814 TRUE #> 202 oławski 0215 FALSE #> 203 opatowski 2606 TRUE #> 204 opoczyński 1007 FALSE #> 205 Opole 1661 TRUE #> 206 opolski 0612 TRUE #> 207 opolski 1609 TRUE #> 208 ostrołęcki 1415 TRUE #> 209 Ostrołęka 1461 TRUE #> 210 ostrowiecki 2607 TRUE #> 211 ostrowski 1416 TRUE #> 212 ostrowski 3017 FALSE #> 213 ostródzki 2815 TRUE #> 214 ostrzeszowski 3018 FALSE #> 215 oświęcimski 1213 TRUE #> 216 otwocki 1417 TRUE #> 217 pabianicki 1008 FALSE #> 218 pajęczański 1009 FALSE #> 219 parczewski 0613 TRUE #> 220 piaseczyński 1418 TRUE #> 221 Piekary Śląskie 2471 TRUE #> 222 pilski 3019 FALSE #> 223 pińczowski 2608 TRUE #> 224 piotrkowski 1010 FALSE #> 225 Piotrków Trybunalski 1062 FALSE #> 226 piski 2816 TRUE #> 227 pleszewski 3020 FALSE #> 228 Płock 1462 TRUE #> 229 płocki 1419 TRUE #> 230 płoński 1420 TRUE #> 231 poddębicki 1011 FALSE #> 232 policki 3211 FALSE #> 233 polkowicki 0216 FALSE #> 234 Poznań 3064 FALSE #> 235 poznański 3021 FALSE #> 236 proszowicki 1214 TRUE #> 237 prudnicki 1610 TRUE #> 238 pruszkowski 1421 TRUE #> 239 przasnyski 1422 TRUE #> 240 przemyski 1813 TRUE #> 241 Przemyśl 1862 TRUE #> 242 przeworski 1814 TRUE #> 243 przysuski 1423 TRUE #> 244 pszczyński 2410 TRUE #> 245 pucki 2211 FALSE #> 246 puławski 0614 TRUE #> 247 pułtuski 1424 TRUE #> 248 pyrzycki 3212 FALSE #> 249 raciborski 2411 TRUE #> 250 Radom 1463 TRUE #> 251 radomski 1425 TRUE #> 252 radomszczański 1012 FALSE #> 253 radziejowski 0411 TRUE #> 254 radzyński 0615 TRUE #> 255 rawicki 3022 FALSE #> 256 rawski 1013 FALSE #> 257 ropczycko-sędziszowski 1815 TRUE #> 258 Ruda Śląska 2472 TRUE #> 259 rybnicki 2412 TRUE #> 260 Rybnik 2473 TRUE #> 261 rycki 0616 TRUE #> 262 rypiński 0412 TRUE #> 263 rzeszowski 1816 TRUE #> 264 Rzeszów 1863 TRUE #> 265 sandomierski 2609 TRUE #> 266 sanocki 1817 TRUE #> 267 sejneński 2009 TRUE #> 268 sępoleński 0413 TRUE #> 269 Siedlce 1464 TRUE #> 270 siedlecki 1426 TRUE #> 271 Siemianowice Śląskie 2474 TRUE #> 272 siemiatycki 2010 TRUE #> 273 sieradzki 1014 FALSE #> 274 sierpecki 1427 TRUE #> 275 skarżyski 2610 TRUE #> 276 Skierniewice 1063 FALSE #> 277 skierniewicki 1015 FALSE #> 278 sławieński 3213 FALSE #> 279 słubicki 0805 FALSE #> 280 słupecki 3023 FALSE #> 281 Słupsk 2263 FALSE #> 282 słupski 2212 FALSE #> 283 sochaczewski 1428 TRUE #> 284 sokołowski 1429 TRUE #> 285 sokólski 2011 TRUE #> 286 Sopot 2264 FALSE #> 287 Sosnowiec 2475 TRUE #> 288 stalowowolski 1818 TRUE #> 289 starachowicki 2611 TRUE #> 290 stargardzki 3214 FALSE #> 291 starogardzki 2213 FALSE #> 292 staszowski 2612 TRUE #> 293 strzelecki 1611 TRUE #> 294 strzelecko-drezdenecki 0806 FALSE #> 295 strzeliński 0217 FALSE #> 296 strzyżowski 1819 TRUE #> 297 sulęciński 0807 FALSE #> 298 suski 1215 TRUE #> 299 suwalski 2012 TRUE #> 300 Suwałki 2063 TRUE #> 301 szamotulski 3024 FALSE #> 302 Szczecin 3262 FALSE #> 303 szczecinecki 3215 FALSE #> 304 szczycieński 2817 TRUE #> 305 sztumski 2216 FALSE #> 306 szydłowiecki 1430 TRUE #> 307 średzki 0218 FALSE #> 308 średzki 3025 FALSE #> 309 śremski 3026 FALSE #> 310 świdnicki 0219 FALSE #> 311 świdnicki 0617 TRUE #> 312 świdwiński 3216 FALSE #> 313 świebodziński 0808 FALSE #> 314 świecki 0414 TRUE #> 315 Świętochłowice 2476 TRUE #> 316 Świnoujście 3263 FALSE #> 317 Tarnobrzeg 1864 TRUE #> 318 tarnobrzeski 1820 TRUE #> 319 tarnogórski 2413 TRUE #> 320 tarnowski 1216 TRUE #> 321 Tarnów 1263 TRUE #> 322 tatrzański 1217 TRUE #> 323 tczewski 2214 FALSE #> 324 tomaszowski 0618 TRUE #> 325 tomaszowski 1016 FALSE #> 326 Toruń 0463 TRUE #> 327 toruński 0415 TRUE #> 328 trzebnicki 0220 FALSE #> 329 tucholski 0416 TRUE #> 330 turecki 3027 FALSE #> 331 Tychy 2477 TRUE #> 332 wadowicki 1218 TRUE #> 333 Wałbrzych 0265 FALSE #> 334 wałbrzyski 0221 FALSE #> 335 wałecki 3217 FALSE #> 336 Warszawa 1465 TRUE #> 337 warszawski zachodni 1432 TRUE #> 338 wąbrzeski 0417 TRUE #> 339 wągrowiecki 3028 FALSE #> 340 wejherowski 2215 FALSE #> 341 węgorzewski 2819 TRUE #> 342 węgrowski 1433 TRUE #> 343 wielicki 1219 TRUE #> 344 wieluński 1017 FALSE #> 345 wieruszowski 1018 FALSE #> 346 Włocławek 0464 TRUE #> 347 włocławski 0418 TRUE #> 348 włodawski 0619 TRUE #> 349 włoszczowski 2613 TRUE #> 350 wodzisławski 2415 TRUE #> 351 wolsztyński 3029 FALSE #> 352 wołomiński 1434 TRUE #> 353 wołowski 0222 FALSE #> 354 Wrocław 0264 FALSE #> 355 wrocławski 0223 FALSE #> 356 wrzesiński 3030 FALSE #> 357 wschowski 0812 FALSE #> 358 wysokomazowiecki 2013 TRUE #> 359 wyszkowski 1435 TRUE #> 360 Zabrze 2478 TRUE #> 361 zambrowski 2014 TRUE #> 362 zamojski 0620 TRUE #> 363 Zamość 0664 TRUE #> 364 zawierciański 2416 TRUE #> 365 ząbkowicki 0224 FALSE #> 366 zduńskowolski 1019 FALSE #> 367 zgierski 1020 FALSE #> 368 zgorzelecki 0225 FALSE #> 369 Zielona Góra 0862 FALSE #> 370 zielonogórski 0809 FALSE #> 371 złotoryjski 0226 FALSE #> 372 złotowski 3031 FALSE #> 373 zwoleński 1436 TRUE #> 374 żagański 0810 FALSE #> 375 żarski 0811 FALSE #> 376 żniński 0419 TRUE #> 377 Żory 2479 TRUE #> 378 żuromiński 1437 TRUE #> 379 żyrardowski 1438 TRUE #> 380 żywiecki 2417 TRUE"},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download Register of Towns, Streets and Addresses for communes — emuia_download","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"Download Register Towns, Streets Addresses communes","code":""},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"","code":"emuia_download(commune = NULL, TERYT = NULL, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"commune commune name Polish. Check commune_names() function. TERYT county ID (7 characters) outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"register SHP format","code":""},{"path":"https://kadyb.github.io/rgugik/reference/emuia_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download Register of Towns, Streets and Addresses for communes — emuia_download","text":"","code":"if (FALSE) { # \\dontrun{ emuia_download(commune = \"Kotla\") # 38 KB emuia_download(TERYT = c(\"0203042\", \"2412032\")) # 75 KB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert addresses and objects to geographic coordinates — geocodePL_get","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"Convert addresses objects geographic coordinates","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"","code":"geocodePL_get( address = NULL, road = NULL, rail_crossing = NULL, geoname = NULL )"},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"address place without street house number road road number without mileage rail_crossing rail crossing identifier (11 characters including 2 spaces, format: \"XXX XXX XXX\") geoname name geographical object State Register Geographical Names (function geonames_download())","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"sf data.frame (EPSG: 2180) metadata","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geocodePL_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert addresses and objects to geographic coordinates — geocodePL_get","text":"","code":"if (FALSE) { # \\dontrun{ geocodePL_get(address = \"Marki\") # place geocodePL_get(address = \"Marki, Andersa\") # place and street geocodePL_get(address = \"Marki, Andersa 1\") # place, street and house number geocodePL_get(address = \"Królewskie Brzeziny 13\") # place and house number geocodePL_get(road = \"632\") # road number geocodePL_get(road = \"632 55\") # road number and mileage geocodePL_get(rail_crossing = \"001 018 478\") geocodePL_get(geoname = \"Las Mierzei\") # physiographic object } # }"},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download General Geographic Databases for entire voivodeships — geodb_download","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"Download General Geographic Databases entire voivodeships","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"","code":"geodb_download(voivodeships, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"voivodeships selected voivodeships Polish English, TERC (object voivodeship_names can helpful) outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"database Geography Markup Language format (.GML), content detail level corresponds general geographic map scale 1:250000","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"description topographical general geographical databases, technical standards making maps (Polish): https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20210001412/O/D20211412.pdf brief description categories layer names (English Polish): https://kadyb.github.io/rgugik/articles/articles/spatialdb_description.html","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geodb_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download General Geographic Databases for entire voivodeships — geodb_download","text":"","code":"if (FALSE) { # \\dontrun{ geodb_download(c(\"opolskie\", \"lubuskie\")) # 12.7 MB geodb_download(c(\"Opole\", \"Lubusz\")) # 12.7 MB geodb_download(c(\"16\", \"08\")) # 12.7 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download State Register of Geographical Names — geonames_download","title":"Download State Register of Geographical Names — geonames_download","text":"Download State Register Geographical Names","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download State Register of Geographical Names — geonames_download","text":"","code":"geonames_download(type, format = \"SHP\", outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download State Register of Geographical Names — geonames_download","text":"type names places (\"place\") /physiographic objects (\"object\") format data format (\"GML\", \"SHP\" (default) /\"XLSX\") outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download State Register of Geographical Names — geonames_download","text":"selected data type specified format","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Download State Register of Geographical Names — geonames_download","text":"http://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20150000219/O/D20150219.pdf","code":""},{"path":"https://kadyb.github.io/rgugik/reference/geonames_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download State Register of Geographical Names — geonames_download","text":"","code":"if (FALSE) { # \\dontrun{ geonames_download(type = \"place\", format = \"SHP\") # 18.2 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"Get minimum maximum elevation given polygon","code":""},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"","code":"minmaxDTM_get(polygon)"},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"polygon polygon layer one object (area less 10 ha), larger polygon area, lower DTM resolution, input coordinate system must EPSG:2180","code":""},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"data frame vector points min/max terrain elevation (EPSG:2180)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/minmaxDTM_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get minimum and maximum elevation for a given polygon — minmaxDTM_get","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) minmax = minmaxDTM_get(polygon) } # }"},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download 3D models of buildings for counties — models3D_download","title":"Download 3D models of buildings for counties — models3D_download","text":"Download 3D models buildings counties","code":""},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download 3D models of buildings for counties — models3D_download","text":"","code":"models3D_download( county = NULL, TERYT = NULL, LOD = \"LOD1\", outdir = \".\", unzip = TRUE, ... )"},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download 3D models of buildings for counties — models3D_download","text":"county county name Polish. Check county_names() function. TERYT county ID (4 characters) LOD level detail building models (\"LOD1\" \"LOD2\"). \"LOD1\" default. \"LOD2\" available ten voivodeships (TERC: \"04\", \"06\", \"12\", \"14\", \"16\", \"18\", \"20\", \"24\", \"26\", \"28\"). Check voivodeship_names() function. outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download 3D models of buildings for counties — models3D_download","text":"models buildings Geography Markup Language format (.GML)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/models3D_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download 3D models of buildings for counties — models3D_download","text":"","code":"if (FALSE) { # \\dontrun{ models3D_download(TERYT = c(\"2476\", \"2264\")) # 3.6 MB models3D_download(county = \"sejneński\", LOD = \"LOD2\") # 7.0 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":null,"dir":"Reference","previous_headings":"","what":"Get metadata and links to available orthoimages — ortho_request","title":"Get metadata and links to available orthoimages — ortho_request","text":"Get metadata links available orthoimages","code":""},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get metadata and links to available orthoimages — ortho_request","text":"","code":"ortho_request(x) orto_request(x)"},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get metadata and links to available orthoimages — ortho_request","text":"x sf, sfc SpatVector object one features (requests based bounding boxes provided features)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get metadata and links to available orthoimages — ortho_request","text":"data frame metadata links orthoimages","code":""},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get metadata and links to available orthoimages — ortho_request","text":"server can return maximum 2000 records single query. area interest exceeds limit, can generate grid smaller polygons (sf::st_make_grid()) regular grid points (sf::st_sample()).","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/reference/ortho_request.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get metadata and links to available orthoimages — ortho_request","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) req_df = ortho_request(polygon) # simple filtering by attributes req_df = req_df[req_df$composition == \"CIR\", ] req_df = req_df[req_df$resolution <= 0.25 & req_df$year >= 2016, ] } # }"},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the geometry of cadastral parcels — parcel_get","title":"Get the geometry of cadastral parcels — parcel_get","text":"Get geometry cadastral parcels","code":""},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the geometry of cadastral parcels — parcel_get","text":"","code":"parcel_get(TERYT = NULL, X = NULL, Y = NULL)"},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the geometry of cadastral parcels — parcel_get","text":"TERYT parcel ID (18 characters, e.g. \"141201_1.0001.6509\") X longitude (EPSG: 2180) Y latitude (EPSG: 2180)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the geometry of cadastral parcels — parcel_get","text":"simple feature geometry (case TERYT) data frame simple feature geometry TERYT (case coordinates)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/parcel_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the geometry of cadastral parcels — parcel_get","text":"","code":"if (FALSE) { # \\dontrun{ parcel = parcel_get(TERYT = \"141201_1.0001.6509\") parcel = parcel_get(X = 313380.5, Y = 460166.4) } # }"},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"Download digital terrain models voivodeships (100 m resolution)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"","code":"pointDTM100_download(voivodeships, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"voivodeships selected voivodeships Polish English, TERC (function voivodeship_names() can helpful) outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"text files X, Y, Z columns (EPSG:2180)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM100_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download digital terrain models for voivodeships (100 m resolution) — pointDTM100_download","text":"","code":"if (FALSE) { # \\dontrun{ pointDTM100_download(c(\"opolskie\", \"świętokrzyskie\")) # 8.5 MB pointDTM100_download(c(\"Opole\", \"Swietokrzyskie\")) # 8.5 MB pointDTM100_download(c(\"16\", \"26\")) # 8.5 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":null,"dir":"Reference","previous_headings":"","what":"Get terrain elevation for a given polygon — pointDTM_get","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"Get terrain elevation given polygon","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"","code":"pointDTM_get(polygon, distance = 1, print_iter = TRUE)"},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"polygon polygon layer one object (area limited 20 ha * distance parameter), input coordinate system must EPSG:2180 distance distance points meters (must integer greater 1) print_iter print current iteration (logical, TRUE default)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"data frame vector points terrain elevation (EPSG:2180, Vertical Reference System:PL-KRON86-NH)","code":""},{"path":"https://kadyb.github.io/rgugik/reference/pointDTM_get.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get terrain elevation for a given polygon — pointDTM_get","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) DTM = pointDTM_get(polygon, distance = 2) } # }"},{"path":"https://kadyb.github.io/rgugik/reference/rgugik-package.html","id":null,"dir":"Reference","previous_headings":"","what":"rgugik: Search and Retrieve Spatial Data from 'GUGiK' — rgugik-package","title":"rgugik: Search and Retrieve Spatial Data from 'GUGiK' — rgugik-package","text":"Automatic open data acquisition resources Polish Head Office Geodesy Cartography ('Główny Urząd Geodezji Kartografii') (https://www.gov.pl/web/gugik). Available datasets include various types numeric, raster vector data, orthophotomaps, digital elevation models (digital terrain models, digital surface model, point clouds), state register borders, spatial databases, geometries cadastral parcels, 3D models buildings, . also possible geocode addresses objects using geocodePL_get() function.","code":""},{"path":[]},{"path":"https://kadyb.github.io/rgugik/reference/rgugik-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rgugik: Search and Retrieve Spatial Data from 'GUGiK' — rgugik-package","text":"Maintainer: Krzysztof Dyba adres7@gmail.com (ORCID) Authors: Jakub Nowosad nowosad.jakub@gmail.com (ORCID) contributors: Maciej Beręsewicz maciej.beresewicz@ue.poznan.pl (ORCID) [contributor] GUGiK (source data) [contributor]","code":""},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download requested tiles — tile_download","title":"Download requested tiles — tile_download","text":"Download requested tiles","code":""},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download requested tiles — tile_download","text":"","code":"tile_download(df_req, outdir = \".\", unzip = TRUE, print_iter = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download requested tiles — tile_download","text":"df_req data frame obtained using ortho_request() DEM_request() functions outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed; suitable certain elevation data print_iter print current iteration (logical, TRUE default) ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download requested tiles — tile_download","text":"georeferenced tiles properties (resolution, year, etc.) specified input data frame","code":""},{"path":"https://kadyb.github.io/rgugik/reference/tile_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download requested tiles — tile_download","text":"","code":"if (FALSE) { # \\dontrun{ library(sf) options(timeout = 600) polygon_path = system.file(\"datasets/search_area.gpkg\", package = \"rgugik\") polygon = read_sf(polygon_path) req_df = ortho_request(polygon) tile_download(req_df[1, ]) # download the first image only req_df = DEM_request(polygon) tile_download(req_df[1, ]) # download the first DEM only } # }"},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download Topographic Databases for counties — topodb_download","title":"Download Topographic Databases for counties — topodb_download","text":"Download Topographic Databases counties","code":""},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download Topographic Databases for counties — topodb_download","text":"","code":"topodb_download(county = NULL, TERYT = NULL, outdir = \".\", unzip = TRUE, ...)"},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download Topographic Databases for counties — topodb_download","text":"county county name Polish. Check county_names() function. TERYT county ID (4 characters) outdir (optional) name output directory; default, files saved working directory unzip TRUE (default) FALSE, TRUE downloaded archive extracted removed ... additional argument utils::download.file()","code":""},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download Topographic Databases for counties — topodb_download","text":"database Geography Markup Language format (.GML), content detail level corresponds topographic map scale 1:10000","code":""},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Download Topographic Databases for counties — topodb_download","text":"description topographical general geographical databases, technical standards making maps (Polish): https://isap.sejm.gov.pl/isap.nsf/download.xsp/WDU20210001412/O/D20211412.pdf brief description categories layer names (English Polish): https://kadyb.github.io/rgugik/articles/articles/spatialdb_description.html","code":""},{"path":"https://kadyb.github.io/rgugik/reference/topodb_download.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download Topographic Databases for counties — topodb_download","text":"","code":"if (FALSE) { # \\dontrun{ topodb_download(county = \"Świętochłowice\") # 2.4 MB topodb_download(TERYT = c(\"2476\", \"2264\")) # 4.8 MB } # }"},{"path":"https://kadyb.github.io/rgugik/reference/voivodeship_names.html","id":null,"dir":"Reference","previous_headings":"","what":"Voivodeships in Poland — voivodeship_names","title":"Voivodeships in Poland — voivodeship_names","text":"data frame contains Polish English names voivodeships, identifiers (TERC, 2 characters).","code":""},{"path":"https://kadyb.github.io/rgugik/reference/voivodeship_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Voivodeships in Poland — voivodeship_names","text":"","code":"voivodeship_names"},{"path":"https://kadyb.github.io/rgugik/reference/voivodeship_names.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Voivodeships in Poland — voivodeship_names","text":"object class data.frame 16 rows 3 columns.","code":""},{"path":"https://kadyb.github.io/rgugik/reference/voivodeship_names.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Voivodeships in Poland — voivodeship_names","text":"","code":"voivodeship_names #> NAME_PL NAME_EN TERC #> 1 dolnośląskie Lower Silesia 02 #> 2 kujawsko-pomorskie Kuyavian-Pomeranian 04 #> 3 lubelskie Lublin 06 #> 4 lubuskie Lubusz 08 #> 5 łódzkie Lodz 10 #> 6 małopolskie Lesser Poland 12 #> 7 mazowieckie Mazovian 14 #> 8 opolskie Opole 16 #> 9 podkarpackie Subcarpathian 18 #> 10 podlaskie Podlaskie 20 #> 11 pomorskie Pomeranian 22 #> 12 śląskie Silesian 24 #> 13 świętokrzyskie Swietokrzyskie 26 #> 14 warmińsko-mazurskie Warmian-Masurian 28 #> 15 wielkopolskie Greater Poland 30 #> 16 zachodniopomorskie West Pomeranian 32"},{"path":"https://kadyb.github.io/rgugik/news/index.html","id":"rgugik-041","dir":"Changelog","previous_headings":"","what":"rgugik 0.4.1","title":"rgugik 0.4.1","text":"CRAN release: 2024-05-11 list communes updated (02 January 2024). Update product names DEM_request().","code":""},{"path":"https://kadyb.github.io/rgugik/news/index.html","id":"rgugik-040","dir":"Changelog","previous_headings":"","what":"rgugik 0.4.0","title":"rgugik 0.4.0","text":"CRAN release: 2023-02-27 ortho_request() DEM_request() functions updated new API version. Now can download latest orthophotomaps DEM products. Due lack information SHA database, checkSHA argument tile_download() function deprecated.","code":""}]